Alloy is where you belong!

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers.

Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, Best Fintech to Work for by American Banker, year after year.

Check out our investors and read more about us here.

About the team

Alloy is looking for an Applied AI Engineer to sit within our centralized Ops team and drive meaningful AI transformation across the entire business. This is a high-impact, cross-functional role for someone who loves finding inefficiencies, designing elegant solutions, and enabling people to work smarter.

You’ll be the connective tissue between cutting-edge AI capabilities and the practical, day-to-day needs of our teams — identifying where automation and AI can reduce toil, accelerate workflows, and unlock capacity for higher-value work.

Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

What you’ll be doing

• Identify high-impact automation and AI opportunities across the business, prioritized against strategic goals
• Design, build, and deploy AI-powered solutions — from lightweight automations to more sophisticated LLM-based workflows
• Partner with teams across Alloy to understand their pain points and translate them into scalable technical solutions
• Champion and enable AI adoption across the organization — running enablement sessions, building internal tooling, and helping teams become more self-sufficient
• Establish best practices, tooling standards, and frameworks for how Alloy builds and evaluates AI solutions
• Operate the internal stack like a product, running experiments, creating feedback loops, and continuously improving productivity across the whole organization.
• Measure the impact of what you ship and continuously iterate

Who we’re looking for

• Hands-on experience building with LLMs and AI APIs (e.g. OpenAI, Anthropic, etc.) in production environments
• Strong engineering fundamentals — comfortable writing clean, maintainable code in Python or similar
• Experience with workflow automation tools (e.g. Zapier, Make, n8n, or custom-built pipelines)
• A business-minded approach: you think about ROI and impact, not just technical elegance
• Excellent communication skills — you can explain complex AI concepts to non-technical stakeholders and bring people along on the journey
• Comfort with ambiguity and a bias toward shipping

Nice to have

• Experience in an ops, revenue operations, or business systems role
• Familiarity with data tooling (SQL, dbt, etc.)
• Background in a fast-growing startup environment

You’ll have a rare combination of autonomy and breadth — working across every team at Alloy, with a direct line to business impact. This isn’t a role where you’ll be handed a backlog. You’ll define the roadmap, build the solutions, and see the results.

We’re a lean team, so your impact will be felt immediately, and opportunities will grow as the company scales up. If this all sounds like a good fit for you, why not join us?

Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however, pay may vary depending on job-related knowledge, in-demand skills, relevant experience, and/or geography. In addition to a competitive base salary, this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!

This position has a salary range of $150,000 to $180,000.

Benefits and Perks

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
• 401k with 100% match up to 4% of annual employee compensation
• Eligible new parents receive 16 weeks of paid parental leave
• Home office stipend for new employees
• Annual Learning & Development annual stipend
• Well-being benefits include access to ClassPass, OneMedical, UrbanSitter, and Spring Health
• Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square, Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office.

How to apply

Apply right here! You’ve found the application!

Alloy is proud to be an equal-opportunity workplace and employer. We’re committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.

All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process. If you’re ever unsure, please contact us directly via our website before sharing personal information.

Company Description

We are seeking a Senior/Principal AI Engineer to join our Stellar AdTech Business Unit at Sigma Software. This is a full-time role with a flexible hybrid/remote work option, ideal for an experienced professional passionate about designing production-grade agentic AI systems and influencing solution architecture for global AdTech clients.

You will work with cutting-edge multi-agent orchestration frameworks, contribute to presales activities, and design custom AI models that power large-scale, enterprise-ready solutions.

Why Join Us: Be part of a 300+ strong AdTech competence center, collaborate with top-tier global clients, and help shape the future of AI in advertising technology.

PROJECT

Our Stellar AdTech Business Unit specializes in Advertising Technology solutions and has been delivering innovative systems to global AdTech leaders and startups since 2008.

In this role, you will architect scalable AI-powered systems, translate complex business problems into actionable LLM-based solutions, and support presales by defining AI use cases, architectures, risks, and implementation roadmaps.

Job Description

• Consult clients during presales to assess AI readiness, constraints, and success criteria, translating visions into actionable requirements
• Prepare and present presales deliverables including architecture diagrams, assumptions, risks, estimates, scalability considerations, and implementation roadmaps
• Define AI use cases and agentic scenarios based on client needs
• Select and justify LLMs per use case based on requirements, cost, latency, safety, capability
• Architect multi-agent frameworks with orchestrator agents and MCP-style protocols
• Design and implement single-agent/multi-agent AI systems with defined roles, tool access, memory, safety boundaries
• Build orchestration logic (routing, delegation, retries, fallback strategies, consensus, human-in-the-loop flows)
• Develop RAG pipelines (data ingestion, chunking, embeddings, vector databases, hybrid retrieval, relevance optimization)
• Implement learning & feedback loops for continuous agent improvement
• Design custom or adapted models (prompt-tuned agents, LoRA fine-tuning, domain-inherited models)

Qualifications

• Designing and building AI-powered systems in production
• Agentic frameworks, multi-agent collaboration, orchestrator/worker models
• RAG pipelines, relevance tuning
• Python and/or TypeScript, API design, microservices, cloud-native architectures
• Presales consulting, translating business problems into AI solutions

Additional requirements:

• Practical knowledge of multiple LLM providers (OpenAI, Anthropic, open-source)
• Ability to build/adapt models (prompt-tuned agents, LoRA fine-tuning, inheritance from foundation models)
• Knowledge of AWS Bedrock, Azure OpenAI, GCP Vertex AI
• Understanding governance, security, data residency, pricing models, enterprise integration for cloud AI platforms
• Production-grade mindset: observability, logging, security, PII handling, cost-efficiency
• Strong communication skills for explaining AI concepts to non-technical stakeholders
• English level: Upper-Intermediate
• Experience: 5+ years in AI engineering or related roles

WILL BE A PLUS

• Experience in AdTech domain
• Experience integrating AI into legacy or enterprise systems
• Familiarity with workflow automation tools
• Knowledge of DevOps practices, CI/CD, containerization

Location: Remote or Hybrid

Trinetix is entering its next phase of evolution: the adoption of AI across our entire global footprint. We are looking for a Principal Manager, Applied AI to serve as the strategic lead for this mission, ensuring that our AI-native roadmap delivers measurable competitive advantage across both corporate functions and client delivery

In this role, you will manage a dual-focus mandate: optimizing our corporate ecosystem and revolutionizing our delivery lifecycle. You will act as the strategic bridge between our Applied R&D capabilities and our decentralized network of “AI Champions” embedded within corporate functions and delivery groups.

This is a program-level management role. You are responsible for the technical roadmap and the cross-functional alignment required to move AI-native workflows from R&D into global production. You own the transition of these systems into a standardized, company-wide operational framework.

Key Pillars of Responsibility

1. Enterprise & Delivery Orchestration

• SDLC Industrialization: Direct the integration of R&D outputs—specifically agentic workflows, GraphRAG, and automated testing—into the core delivery lifecycle to ensure AI-native engineering becomes the firm’s operational standard.

• Corporate Value Chain Optimization: Audit and optimize the enterprise value chain by identifying high-impact AI interventions within core functions (Finance, Legal, Marketing, and Talent) to eliminate manual bottlenecks and maximize ROI.

• The Hub-and-Spoke Manager: Act as the central sync-point for “AI Champions” across the firm. You ensure that local innovations in delivery or sales squads are captured, standardized, and scaled globally.

2. Portfolio & Roadmap Leadership

• Strategic Alignment: Ensure that all Applied R&D outputs and Champion initiatives align strictly with corporate strategic goals and high-value business outcomes.

• Roadmap Prioritization: Own the AI innovation backlog. You must balance the demands of corporate functional heads with the technical milestones of the delivery engine, prioritizing based on business impact, risk, and feasibility.

• Standardized Productization: Manage the “last mile” of AI adoption. You own the transition of successful prototypes into industrialized, supported tools that are fully integrated into departmental workflows.

3. Strategic Communication & Governance

• Change Leadership: Act as the internal evangelist for AI-native transformation. You manage the cultural shift required for teams to trust and adopt non-deterministic, agentic systems.

• Operational Reporting: Define and track KPIs for AI adoption and efficiency gains. You will regularly report on “Time Saved” and “Value Added” to the executive leadership team.

• AI Governance: Collaborate with Legal and Security stakeholders to ensure all AI-driven interventions maintain the highest standards of data privacy and corporate governance.

The Ideal Candidate Profile

• 7+ Years of Management Experience: A proven track record in program management, innovation leadership, or digital transformation within a high-growth environment.

• Matrix Leadership Mastery: Expert at leading through influence and managing decentralized communities. You know how to align diverse stakeholders—from the CxO to Delivery Leads—around a unified AI roadmap.

• Business Polymath: You can speak the language of Finance (ROI, efficiency), Legal (compliance, risk), and Delivery (velocity, quality) with equal fluency.

• Operational Excellence: A “builder” mindset. You know how to take a messy, manual process and turn it into a structured, automated, and scalable workflow.

• Communication: Exceptional English skills, with the ability to present complex transformation results to C-suite executives and high-value clients.

What We Offer

• Continuous learning and career growth opportunities

• Professional training and English/Spanish language classes

• Comprehensive medical insurance

• Mental health support

• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more

• Flexible working hours

• Inclusive and supportive culture

About Us

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world.

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture.

Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

The GTM Engineer is the architect of HHAeXchange’s GTM systems infrastructure — responsible for designing, scaling, and evolving the automation and integration ecosystem that drives pipeline velocity and revenue growth. This role goes beyond executing on existing workflows: you will own the strategic vision for how our GTM tools connect, evolve, and compound over time. You will shape the next generation of our automation infrastructure, defining how signals flow across the stack and how systems are built to accelerate revenue motion at scale.

This is a hybrid position for members located in New York City Metro areas, with expectations to work onsite 3 days per week to support collaboration and engagement.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Job Duties

• Partner with RevOps and Marketing Ops to design how funnel data flows across the GTM stack — ensuring signals move cleanly from first touch to revenue and surface as actionable pipeline insights.
• Maintain and evolve the automation architecture connecting HubSpot, Salesforce, SalesLoft, Zapier, 6sense, Clay, GA4, and other GTM tools — ensuring integrations remain reliable, scalable, and aligned to revenue outcomes.
• Continuously identify friction in Growth execution and design automation to remove it.
• Shape the strategic evolution of the GTM tool stack — evaluating, implementing, and retiring tools based on their ability to improve pipeline velocity, reporting accuracy, and long-term scalability.
• Embed AI agents and LLM-powered automation across the GTM stack — deploying AI-native tools for signal interpretation, prospect research, content personalization, and workflow orchestration to eliminate manual effort and accelerate pipeline velocity at scale.
  • Continuously evaluate emerging AI tools and models for GTM applicability — moving quickly to integrate capabilities that can replace manual processes, enrich data pipelines, or unlock new automation plays across acquisition and expansion.
• Ensure Growth programs respond dynamically to customer readiness, not static campaigns.
  • Work with growth marketers to operationalize behavioral signals (site activity, event engagement, demo requests, expansion indicators) into automated routing and lifecycle activation.
• Architect workflows that eliminate manual handoffs across the funnel.
  • Build scalable automation for events, webinars, content downloads, demo routing, upsell motions, and outbound support.

Other Job Duties

• Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

• Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills

• Education: Bachelor’s degree required. Technical or analytical background preferred but not required.
• Experience:
  • 5–8 years building and scaling GTM, growth, or revenue systems in a B2B environment.
  • Proven record of designing automation that directly influenced pipeline, revenue, or lifecycle performance.
  • Experience owning cross-functional execution between Marketing, Sales, and RevOps.
  • Background in SaaS or complex go-to-market environments strongly preferred.
• Skills:
  • Has experience ideating about, and building, architecture across the end-to-end GTM ecosystem — from acquisition and lifecycle to expansion and outbound — with a clear mandate to shape how systems evolve, not just how they operate.
  • AI-first systems architect — designs GTM automation that embeds AI at key decision points, including multi-step AI agent pipelines for research, enrichment, qualification, and hyper-personalized outreach at scale.
  • Practical prompt engineering for GTM — writes, evaluates, and iterates prompts that power AI-driven enrichment, signal classification, content personalization, and outreach generation; understands how to get reliable, production-grade outputs from LLMs inside automated workflows.
  • Experience translating intent data, product usage data, and engagement signals into automated plays.
  • Deep experience building multi-step workflows that eliminate manual handoffs and accelerate revenue velocity.
  • Ability to diagnose bottlenecks across the marketing-to-sales funnel and design systems that improve conversion.
  • Build testing frameworks, not just campaigns — instrumentation, measurement, and iteration loops.
  • Technically fluent across no-code, low-code, and AI-augmented tooling — extends systems and structures data using the right tool for the job, from visual automation builders to AI coding assistants to light scripting when required.
  • Hands-on expertise across modern GTM systems such as:
    • CRM and marketing automation platforms (e.g., HubSpot, Salesforce)
    • Sequencing / outbound tools (e.g., SalesLoft, Outreach)
    • Business automation platforms (e.g., Make, n8n, Zapier)
    • AI-powered enrichment and GTM orchestration (e.g., Clay — including waterfall enrichment, AI-driven prospect research, and hyper-personalized outreach at scale)
    • Intent data platforms (e.g., 6sense, Bombora)
    • Data enrichment tools (e.g., ZoomInfo, Apollo, Clearbit)
    • AI tools for GTM execution — comfortable applying LLMs and AI-native tools to signal interpretation, outreach personalization, content generation, and workflow automation
    • Web analytics platforms (e.g., GA4, Heap)
• Other Requirements:
  • Systems-first thinker — you see processes as products
  • Bias toward building and automating over doing manual work.
  • Strategic GTM architect — evaluates every automation and integration decision through the lens of pipeline velocity, revenue impact, and long-term infrastructure scalability.
  • You have commercial instincts — every build is evaluated by whether it moves pipeline, not just whether it works.
  • Curiosity and experimental mindset — you test, measure, and iterate rather than set-and-forget.
  • Ability to operate autonomously in a fast-paced, high-accountability environment.
  • Strong communicator can explain what a workflow does and why it matters to non-technical stakeholders.

The base salary range for this US-based, full-time, and exempt position is $120,000 - $139,000, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

The GTM Engineer is the architect of HHAeXchange’s GTM systems infrastructure — responsible for designing, scaling, and evolving the automation and integration ecosystem that drives pipeline velocity and revenue growth. This role goes beyond executing on existing workflows: you will own the strategic vision for how our GTM tools connect, evolve, and compound over time. You will shape the next generation of our automation infrastructure, defining how signals flow across the stack and how systems are built to accelerate revenue motion at scale.

This is a hybrid position for members located in New York City Metro areas, with expectations to work onsite 3 days per week to support collaboration and engagement.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Job Duties

• Partner with RevOps and Marketing Ops to design how funnel data flows across the GTM stack — ensuring signals move cleanly from first touch to revenue and surface as actionable pipeline insights.
• Maintain and evolve the automation architecture connecting HubSpot, Salesforce, SalesLoft, Zapier, 6sense, Clay, GA4, and other GTM tools — ensuring integrations remain reliable, scalable, and aligned to revenue outcomes.
• Continuously identify friction in Growth execution and design automation to remove it.
• Shape the strategic evolution of the GTM tool stack — evaluating, implementing, and retiring tools based on their ability to improve pipeline velocity, reporting accuracy, and long-term scalability.
• Embed AI agents and LLM-powered automation across the GTM stack — deploying AI-native tools for signal interpretation, prospect research, content personalization, and workflow orchestration to eliminate manual effort and accelerate pipeline velocity at scale.
  • Continuously evaluate emerging AI tools and models for GTM applicability — moving quickly to integrate capabilities that can replace manual processes, enrich data pipelines, or unlock new automation plays across acquisition and expansion.
• Ensure Growth programs respond dynamically to customer readiness, not static campaigns.
  • Work with growth marketers to operationalize behavioral signals (site activity, event engagement, demo requests, expansion indicators) into automated routing and lifecycle activation.
• Architect workflows that eliminate manual handoffs across the funnel.
  • Build scalable automation for events, webinars, content downloads, demo routing, upsell motions, and outbound support.

Other Job Duties

• Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

• Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills

• Education: Bachelor’s degree required. Technical or analytical background preferred but not required.
• Experience:
  • 5–8 years building and scaling GTM, growth, or revenue systems in a B2B environment.
  • Proven record of designing automation that directly influenced pipeline, revenue, or lifecycle performance.
  • Experience owning cross-functional execution between Marketing, Sales, and RevOps.
  • Background in SaaS or complex go-to-market environments strongly preferred.
• Skills:
  • Has experience ideating about, and building, architecture across the end-to-end GTM ecosystem — from acquisition and lifecycle to expansion and outbound — with a clear mandate to shape how systems evolve, not just how they operate.
  • AI-first systems architect — designs GTM automation that embeds AI at key decision points, including multi-step AI agent pipelines for research, enrichment, qualification, and hyper-personalized outreach at scale.
  • Practical prompt engineering for GTM — writes, evaluates, and iterates prompts that power AI-driven enrichment, signal classification, content personalization, and outreach generation; understands how to get reliable, production-grade outputs from LLMs inside automated workflows.
  • Experience translating intent data, product usage data, and engagement signals into automated plays.
  • Deep experience building multi-step workflows that eliminate manual handoffs and accelerate revenue velocity.
  • Ability to diagnose bottlenecks across the marketing-to-sales funnel and design systems that improve conversion.
  • Build testing frameworks, not just campaigns — instrumentation, measurement, and iteration loops.
  • Technically fluent across no-code, low-code, and AI-augmented tooling — extends systems and structures data using the right tool for the job, from visual automation builders to AI coding assistants to light scripting when required.
  • Hands-on expertise across modern GTM systems such as:
    • CRM and marketing automation platforms (e.g., HubSpot, Salesforce)
    • Sequencing / outbound tools (e.g., SalesLoft, Outreach)
    • Business automation platforms (e.g., Make, n8n, Zapier)
    • AI-powered enrichment and GTM orchestration (e.g., Clay — including waterfall enrichment, AI-driven prospect research, and hyper-personalized outreach at scale)
    • Intent data platforms (e.g., 6sense, Bombora)
    • Data enrichment tools (e.g., ZoomInfo, Apollo, Clearbit)
    • AI tools for GTM execution — comfortable applying LLMs and AI-native tools to signal interpretation, outreach personalization, content generation, and workflow automation
    • Web analytics platforms (e.g., GA4, Heap)
• Other Requirements:
  • Systems-first thinker — you see processes as products
  • Bias toward building and automating over doing manual work.
  • Strategic GTM architect — evaluates every automation and integration decision through the lens of pipeline velocity, revenue impact, and long-term infrastructure scalability.
  • You have commercial instincts — every build is evaluated by whether it moves pipeline, not just whether it works.
  • Curiosity and experimental mindset — you test, measure, and iterate rather than set-and-forget.
  • Ability to operate autonomously in a fast-paced, high-accountability environment.
  • Strong communicator can explain what a workflow does and why it matters to non-technical stakeholders.

The base salary range for this US-based, full-time, and exempt position is $120,000 - $139,000, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

HHAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

The GTM Engineer is the architect of HHAeXchange’s GTM systems infrastructure — responsible for designing, scaling, and evolving the automation and integration ecosystem that drives pipeline velocity and revenue growth. This role goes beyond executing on existing workflows: you will own the strategic vision for how our GTM tools connect, evolve, and compound over time. You will shape the next generation of our automation infrastructure, defining how signals flow across the stack and how systems are built to accelerate revenue motion at scale.

This is a hybrid position for members located in New York City Metro areas, with expectations to work onsite 3 days per week to support collaboration and engagement.

To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Job Duties

• Partner with RevOps and Marketing Ops to design how funnel data flows across the GTM stack — ensuring signals move cleanly from first touch to revenue and surface as actionable pipeline insights.
• Maintain and evolve the automation architecture connecting HubSpot, Salesforce, SalesLoft, Zapier, 6sense, Clay, GA4, and other GTM tools — ensuring integrations remain reliable, scalable, and aligned to revenue outcomes.
• Continuously identify friction in Growth execution and design automation to remove it.
• Shape the strategic evolution of the GTM tool stack — evaluating, implementing, and retiring tools based on their ability to improve pipeline velocity, reporting accuracy, and long-term scalability.
• Embed AI agents and LLM-powered automation across the GTM stack — deploying AI-native tools for signal interpretation, prospect research, content personalization, and workflow orchestration to eliminate manual effort and accelerate pipeline velocity at scale.
  • Continuously evaluate emerging AI tools and models for GTM applicability — moving quickly to integrate capabilities that can replace manual processes, enrich data pipelines, or unlock new automation plays across acquisition and expansion.
• Ensure Growth programs respond dynamically to customer readiness, not static campaigns.
  • Work with growth marketers to operationalize behavioral signals (site activity, event engagement, demo requests, expansion indicators) into automated routing and lifecycle activation.
• Architect workflows that eliminate manual handoffs across the funnel.
  • Build scalable automation for events, webinars, content downloads, demo routing, upsell motions, and outbound support.

Other Job Duties

• Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements

• Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills

• Education: Bachelor’s degree required. Technical or analytical background preferred but not required.
• Experience:
  • 5–8 years building and scaling GTM, growth, or revenue systems in a B2B environment.
  • Proven record of designing automation that directly influenced pipeline, revenue, or lifecycle performance.
  • Experience owning cross-functional execution between Marketing, Sales, and RevOps.
  • Background in SaaS or complex go-to-market environments strongly preferred.
• Skills:
  • Has experience ideating about, and building, architecture across the end-to-end GTM ecosystem — from acquisition and lifecycle to expansion and outbound — with a clear mandate to shape how systems evolve, not just how they operate.
  • AI-first systems architect — designs GTM automation that embeds AI at key decision points, including multi-step AI agent pipelines for research, enrichment, qualification, and hyper-personalized outreach at scale.
  • Practical prompt engineering for GTM — writes, evaluates, and iterates prompts that power AI-driven enrichment, signal classification, content personalization, and outreach generation; understands how to get reliable, production-grade outputs from LLMs inside automated workflows.
  • Experience translating intent data, product usage data, and engagement signals into automated plays.
  • Deep experience building multi-step workflows that eliminate manual handoffs and accelerate revenue velocity.
  • Ability to diagnose bottlenecks across the marketing-to-sales funnel and design systems that improve conversion.
  • Build testing frameworks, not just campaigns — instrumentation, measurement, and iteration loops.
  • Technically fluent across no-code, low-code, and AI-augmented tooling — extends systems and structures data using the right tool for the job, from visual automation builders to AI coding assistants to light scripting when required.
  • Hands-on expertise across modern GTM systems such as:
    • CRM and marketing automation platforms (e.g., HubSpot, Salesforce)
    • Sequencing / outbound tools (e.g., SalesLoft, Outreach)
    • Business automation platforms (e.g., Make, n8n, Zapier)
    • AI-powered enrichment and GTM orchestration (e.g., Clay — including waterfall enrichment, AI-driven prospect research, and hyper-personalized outreach at scale)
    • Intent data platforms (e.g., 6sense, Bombora)
    • Data enrichment tools (e.g., ZoomInfo, Apollo, Clearbit)
    • AI tools for GTM execution — comfortable applying LLMs and AI-native tools to signal interpretation, outreach personalization, content generation, and workflow automation
    • Web analytics platforms (e.g., GA4, Heap)
• Other Requirements:
  • Systems-first thinker — you see processes as products
  • Bias toward building and automating over doing manual work.
  • Strategic GTM architect — evaluates every automation and integration decision through the lens of pipeline velocity, revenue impact, and long-term infrastructure scalability.
  • You have commercial instincts — every build is evaluated by whether it moves pipeline, not just whether it works.
  • Curiosity and experimental mindset — you test, measure, and iterate rather than set-and-forget.
  • Ability to operate autonomously in a fast-paced, high-accountability environment.
  • Strong communicator can explain what a workflow does and why it matters to non-technical stakeholders.

The base salary range for this US-based, full-time, and exempt position is $120,000 - $139,000, not including variable compensation. An employee’s exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values.

This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

HHAeXchange is an equal-opportunity employer. The Company offers employment opportunities to all applicants and employees without regard to race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, marital status, veteran status, citizenship, genetic information, hairstyles, or any other status protected by local or federal law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are committed to embracing diversity of thought and experience within our team.

We are looking for a Senior Software Engineer to join our team, focused on enabling applied AI across the organization through scalable internal tools and integrations. You will sit at the intersection of IT, security, and business operations, helping to identify high-impact opportunities and turn them into practical, production-ready solutions.

This is a hands-on engineering role centered on building the systems, integrations, and patterns that allow teams across the company to effectively adopt and scale AI in their day-to-day work.

You will be part of the Information Security team, working closely with partners across Product, Finance, Operations, and Customer Success to bring secure and effective AI capabilities into internal workflows.

Our team is based in Boston, MA with a hybrid schedule of two days per week in the office. We are also a remote-friendly company with flexibility depending on role and location.

What You’ll Do

If you were part of our team, here are some things you would have done last week:

• Built and deployed a reusable AI-powered service or integration that enabled a business team to automate a critical workflow
• Designed and implemented connectors between AI systems and internal or third-party platforms such as Salesforce or Workday
• Partnered with stakeholders to identify a high-impact opportunity and translated it into a scalable internal tool or workflow
• Improved reliability and performance of an existing AI-enabled system by debugging across APIs, services, and infrastructure
• Evaluated new AI tools or frameworks and contributed to decisions on how they can be securely adopted at scale
• Partnered with InfoSec to ensure systems meet security, compliance, and governance standards
• Led a working session or demo to help teams understand and adopt new AI-enabled capabilities
• Built reusable components, services, or patterns that make it easier for other teams to leverage AI

What You’ll Need

We’re looking for a Senior Software Engineer with 5+ years of experience in software engineering or related technical roles. This level of experience is important because the role requires independently scoping ambiguous problems, designing scalable systems, and delivering production-ready solutions that can be adopted across the organization.

People who thrive on our team also tend to share the following characteristics:

• Curious and pragmatic engineers who enjoy solving ambiguous problems and building systems that others rely on
• Collaborative and business-minded, with the ability to understand workflows and translate them into scalable technical solutions
• Ownership-driven, with a focus on delivering measurable impact and enabling others through their work
• Thoughtful about security, scalability, and long-term maintainability

You will also bring:

• Strong hands-on experience building and shipping production systems using modern programming languages and frameworks
• Experience working with AI technologies such as LLMs and an understanding of how to integrate them into applications and workflows
• Strong experience with REST APIs, microservices, and system integrations
• Experience building internal tools, platforms, or shared services used by multiple teams
• Familiarity with authentication and security patterns such as OAuth, JWT, and IAM
• Ability to debug across full-stack systems including services, APIs, workflows, and cloud infrastructure
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders
• Hybrid in Boston, MA (2 days per week in-office)

Nice to have

• Experience building AI-powered applications using tools such as OpenAI, Claude, or similar platforms
• Experience with enterprise automation or integration platforms
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with data governance, security, and compliance in enterprise environments

Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team.

As a part of Mark43’s security measures all employees must: Engage in appropriate use of the company’s electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts.

Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are committed to embracing diversity of thought and experience within our team.

We are looking for a Senior Software Engineer to join our team, focused on enabling applied AI across the organization through scalable internal tools and integrations. You will sit at the intersection of IT, security, and business operations, helping to identify high-impact opportunities and turn them into practical, production-ready solutions.

This is a hands-on engineering role centered on building the systems, integrations, and patterns that allow teams across the company to effectively adopt and scale AI in their day-to-day work.

You will be part of the Information Security team, working closely with partners across Product, Finance, Operations, and Customer Success to bring secure and effective AI capabilities into internal workflows.

Our team is based in Boston, MA with a hybrid schedule of two days per week in the office. We are also a remote-friendly company with flexibility depending on role and location.

What You’ll Do

If you were part of our team, here are some things you would have done last week:

• Built and deployed a reusable AI-powered service or integration that enabled a business team to automate a critical workflow
• Designed and implemented connectors between AI systems and internal or third-party platforms such as Salesforce or Workday
• Partnered with stakeholders to identify a high-impact opportunity and translated it into a scalable internal tool or workflow
• Improved reliability and performance of an existing AI-enabled system by debugging across APIs, services, and infrastructure
• Evaluated new AI tools or frameworks and contributed to decisions on how they can be securely adopted at scale
• Partnered with InfoSec to ensure systems meet security, compliance, and governance standards
• Led a working session or demo to help teams understand and adopt new AI-enabled capabilities
• Built reusable components, services, or patterns that make it easier for other teams to leverage AI

What You’ll Need

We’re looking for a Senior Software Engineer with 5+ years of experience in software engineering or related technical roles. This level of experience is important because the role requires independently scoping ambiguous problems, designing scalable systems, and delivering production-ready solutions that can be adopted across the organization.

People who thrive on our team also tend to share the following characteristics:

• Curious and pragmatic engineers who enjoy solving ambiguous problems and building systems that others rely on
• Collaborative and business-minded, with the ability to understand workflows and translate them into scalable technical solutions
• Ownership-driven, with a focus on delivering measurable impact and enabling others through their work
• Thoughtful about security, scalability, and long-term maintainability

You will also bring:

• Strong hands-on experience building and shipping production systems using modern programming languages and frameworks
• Experience working with AI technologies such as LLMs and an understanding of how to integrate them into applications and workflows
• Strong experience with REST APIs, microservices, and system integrations
• Experience building internal tools, platforms, or shared services used by multiple teams
• Familiarity with authentication and security patterns such as OAuth, JWT, and IAM
• Ability to debug across full-stack systems including services, APIs, workflows, and cloud infrastructure
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders
• Hybrid in Boston, MA (2 days per week in-office)

Nice to have

• Experience building AI-powered applications using tools such as OpenAI, Claude, or similar platforms
• Experience with enterprise automation or integration platforms
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with data governance, security, and compliance in enterprise environments

Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team.

As a part of Mark43’s security measures all employees must: Engage in appropriate use of the company’s electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts.

Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.

Company Description

Help us to achieve our goal to be the global leader in total quality services.

With your help we will achieve this by delivering Total Quality 360, a comprehensive suite of cutting-edge services which combine quality engineering, cyber security, conformance & interoperability and content quality to deliver end-to-end total quality solutions.

Here at Resillion, our culture is based on an ‘if you see something, say something’ attitude where we take responsibility. It’s one where we expect to adapt and embrace change as the company grows. It’s based on recognising the individual worth of every one of our employees and developing their skills to keep us all at the forefront of our industry.

Above all, it’s a culture where we’re passionate about what we do, and we’re committed to the greater good of the company.

If you would like to be part of our journey, then this role may be the one for you.

Job Description

Manual Test Analyst – AI Programme – Glasgow Hybrid (2 days per week)

Salary up to £40K plus benefits

\*\* PLEASE NOTE - DUE TO BACKGROUND CHECKS WE CAN ONLY ACCEPT APPLICANTS WITH 3 YEARS UK ADDRESS HISTORY **

Job Description

We are seeking a dedicated Test Analyst to support the Senior Test Analyst in ensuring the quality, reliability, and functionality of software applications within a dynamic AI Programme. In this role, you will help minimise application defects by performing comprehensive testing activities, contributing to the successful delivery of high-quality IT and AI-enabled systems. The role also requires a commitment to best practices, continuous improvement, and professional collaboration to meet client expectations.

You will be involved in various aspects of the testing lifecycle, including test planning, execution, and sign-off, with a particular focus on User Acceptance Testing (UAT), system testing, and AI-related application validation. This position provides an opportunity to work across both Waterfall and Agile methodologies while gaining hands-on experience in a fast-evolving, high-impact AI environment.

Key Responsibilities

Test Planning & Execution

• Schedule and coordinate testing activities, ensuring adequate business representation in UAT and other testing phases.
• Fully participate in the testing lifecycle, including test planning, preparation, execution, and sign-off.
• Manage test environments and prepare data as required for testing purposes.
• Support testing activities related to AI-driven applications, workflows, and integrations.

Quality Assurance & Documentation

• Ensure 100% compliance with audited testing procedures.
• Maintain and manage all testing documentation, including Test Specifications, Test Completion Reports, Risk/Issues Logs, Testing Checklists, and Release Meeting Minutes.
• Document and report all issues identified during testing, raising observation reports and collaborating with relevant parties to ensure timely resolution.
• Assist in validating AI outputs, data accuracy, and system behaviour against business requirements.

Collaboration & Stakeholder Engagement

• Participate in and, when required, chair Release meetings with all relevant stakeholders to ensure proper alignment on testing progress and findings.
• Provide testing expertise in development workshops, sharing knowledge and best practices with the team.
• Work collaboratively with business users, developers, data teams, and AI programme stakeholders.
• Assist in post-implementation checks to ensure the successful deployment of applications.

Testing Analysis & Reporting

• Analyse Business Requirements and Functional Specifications for smaller-scale changes or developments and recommend the most effective testing methods within the given budget and timeline.
• Evaluate test results and record test specifications as needed to ensure comprehensive test coverage.
• Expedite defect resolution to ensure timely delivery of software releases.
• Contribute to testing strategies for AI-related functionality, including data validation and workflow accuracy.

Agile Testing & Tools

• Apply Agile testing methods and contribute to Agile ceremonies and processes, leveraging tools such as Jira and Confluence.
• Utilise automated testing tools, such as Selenium and Appium, to enhance testing efficiency and accuracy.
• Collaborate within Agile product and AI delivery teams in a fast-paced environment.

System Knowledge & Technical Skills

Testing Tools & Platforms

• HP Quality Centre (HP ALM), Jira, Confluence
• Experience or exposure to automated testing tools such as Selenium and Appium
• XML, API testing, Postman
• Oracle/SQL Server or SAP advantageous
• Exposure to AI tools, AI-assisted testing approaches, or data-driven systems would be beneficial

Key Skills & Experience

• Minimum of 2 years’ hands-on experience with testing methods and tools, including Agile frameworks, Jira, and Confluence.
• Strong understanding of manual testing procedures and QA methodologies.
• Any knowledge of automated testing tools (e.g. Selenium, Appium).
• Interest in AI technologies, AI-enabled platforms, or intelligent automation solutions is highly desirable.
• Familiarity with AI concepts, prompt-based systems, data validation, or AI-assisted workflows would be advantageous.
• Strong understanding of quality assurance processes and the ability to maintain detailed documentation.
• Ability to work collaboratively with both technical teams and business stakeholders to ensure smooth testing operations.
• Good communication skills, with the ability to articulate test results and findings to diverse audiences.

Additional Requirements

• Ability to manage multiple testing activities and meet deadlines in a fast-paced environment.
• Detail-oriented with a focus on accuracy and thoroughness in testing processes.
• A team-oriented mindset with a commitment to continuous improvement and process optimisation.
• Enthusiasm for emerging technologies and AI-driven transformation initiatives.

This is a great opportunity for a Test Analyst to join a dynamic AI-focused team within Resillion, contributing to high-quality IT and AI solution deliveries while gaining valuable experience in testing, process improvement, and emerging technologies. If you are passionate about testing, quality assurance, and the future of AI-enabled applications, we would love to hear from you.

Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality.

This role follows a hybrid work schedule and reports to the Director of Engineering, DevAI

You will:

• Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation
• Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, automated triage workflows etc.
• Enhance Driver Debugging: Create specialized agents for perception debugging to accelerate the troubleshooting of complex driving behaviors observed in the real world and simulation
• Productionize AI Models: Develop data pipelines and evaluation strategies to deploy state-of-the-art LLMs and agentic solutions into Waymo’s production environment
• Collaborate Across Waymo: Partner with engineering teams to understand their unique workflows and drive the adoption of novel DevAI tools

You have:

• Multi-Agent Systems: Hands-on experience building and deploying multi-agent frameworks and agentic AI systems
• SDLC Expertise: Deep understanding of modern software development lifecycles, with a passion for improving the developers velocity and innovation rate
• Spec-Driven Development: Proven track record of utilizing spec-driven development methodologies to build robust software
• Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG)
• Coding Excellence: Proficiency in architecting and delivering complex, large-scale software systems
• Leadership: Experience leading technical work across multiple interdependent teams
• Experience: 10+ years software development experience

We prefer:

• Master’s or PhD in Computer Science or a related technical field, with a focus on AI/ML.
• Experience developing or applying AI-powered tools for software engineering.
• Deep understanding of modern AI architectures and techniques, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
• Experience designing, building, and deploying agentic AI systems and frameworks, including multi-agent systems and their application to complex problem domains.
• Passion for improving developer experiences, and a vision for the future of AI-assisted software development.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$298,000—$368,000 USD