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Lead AI agents to build and ship product features end-to-end, owning technical decisions and outcome metrics across full initiative lifecycle.
Headquarters: Porto Alegre, State of Rio Grande do Sul, Brazil
URL: http://lawnstarter.com
About LawnStarter
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.
About Engineering at LawnStarter
We're restructuring engineering around initiative teams: a Product Engineer paired with a PM and a designer, with an Engineering Manager who covers a couple of initiatives and supports your growth. The engineer leads AI agents like a team, ships the work, and is accountable — with the rest of the triangle — for whether the initiative moves its metric.
We're betting that 1-2 strong engineers running AI agents can outship the labor-team model that defined the last decade of software. That bet only works if the engineers we hire are wired for ownership and can ship to a marketplace with real customers and pros on both sides.
The Role
You're the engineering anchor of one initiative at a time. The initiative is a team effort — an iron triangle of you, your PM, and your designer — and you have key participation across the full lifecycle: shaping the problem, deciding the technical approach, leading the AI agents that implement most of the code, shipping to production, and answering for the outcome alongside the rest of the triangle.
You're accountable for the outcome — not for the volume of code merged. If an agent can ship it safely, your job is to make sure the agent does it right and the metric moves. If the initiative needs hand-written code in a sensitive area, you write it yourself.
What makes this role different:
What You'll Own
Problems to Solve
Leading AI agents at staff-level quality
Most of the code on your initiative will be authored by AI agents. The work is making agents ship as if a senior engineer wrote it: prompts that encode our codebase conventions, evals that catch hallucinations before merge, tests that exercise the edges, observability that catches the regression in production before a customer reports it. How do you build the agent workflow that lets one engineer ship what used to take a team?
Owning an outcome without a tech lead
You don't have a tech lead to approve your design or an architect to escalate to. You have an EM who covers a couple of initiatives and peers on adjacent ones. How do you make calls fast, document them clearly, and stay accountable to the outcome — without slowing down for hierarchy that no longer exists?
Shipping outcomes, not features
The initiative will be measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit economics shift. You're accountable for the number, not the feature. How do you scope to actually move it, decide what to not build, and have the discipline to follow up 2-4 weeks after launch even when the next initiative is calling?
What Success Looks Like (Year 1)
Who You Are
AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship — daily, on production work. You have opinions about prompts, evals, agent loops, MCP servers, and review workflows, and you know when to let the agent run vs. write it yourself. This is unlikely to be a good fit if you describe AI coding as "something you're exploring" or prefer to write everything by hand.
Already operating at lead level. You may currently be titled Senior, Staff, Lead, or Principal — but in practice you've been the person making the call, shipping the hard thing, and answering for whether it worked. This is unlikely to be a good fit if you've always had a tech lead breaking down the work for you.
Outcome-driven, not output-driven. You measure your week in "did the metric move" and "did the experience get better," not in tickets closed. You read the post-launch dashboard and you own the answer. This is unlikely to be a good fit if you take pride in volume of code shipped or feel uncomfortable being measured on a number you don't fully control.
A strong horizontal partner. You hold your own with a strong PM and a strong designer. You bring engineering judgment to product calls and product judgment to engineering calls. This is unlikely to be a good fit if you hide behind "that's product's decision" or default to RICE-scoring tickets handed down to you.
Decisive and documented. Architecture decisions, data-model choices, rollout plans — you write them down, get fast input, and move. This is unlikely to be a good fit if you wait for consensus on questions that have a clear right answer, or if you make calls and never write them down.
Raises the floor, not just the ceiling. Your impact compounds beyond your own initiative because you leave artifacts — agent workflows, evals, runbooks, post-launch reviews. This is unlikely to be a good fit if you're a lone wolf who ships brilliantly but leaves nothing reusable behind.
Cares about customers and pros. This is a real-world marketplace with real people on both sides. This is unlikely to be a good fit if you're chasing pure engineering elegance over business and customer outcomes.
This Role Is NOT
Tech You'll Touch
You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents.
Benefits
To apply: https://weworkremotely.com/remote-jobs/lawnstarter-staff-product-engineer-4
Architect and deploy production-grade multi-agent AI systems, design LLM-based solutions for enterprise clients, and lead presales consulting on AI implementation strategies.
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.
Additional requirements:
WILL BE A PLUS
Lead an AI Ops team building and scaling automations and AI agents across internal operations and customer-facing products.
We’re hiring our first Lead AI Automation Engineer to lead a team that designs, ships, and scales automations and AI agents across M-KOPA. This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes.
The Impact
Your automations and agents will directly improve how 2,300+ employees work across our global operations. We’ve already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster. It’s your chance to be part of something that’s literally transforming lives across an entire continent 🌍
The Opportunity
🎯 Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa’s Every Day Earners
🏆 Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022–2025)
🚀 Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can’t scale by hiring forever need intelligent tooling that actually works
🌱 Environmental impact: We’re carbon-negative, having displaced over 2 million tonnes of emissions
What You’ll Do
At M-KOPA, you’ll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.
Your key responsibilities:
Lead two AI Ops Engineers — own their delivery, development, and day-to-day work
Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you’ll help develop and improve
Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work
Keep the AI tooling stack healthy as usage scales across 2,500+ employees
Stay current on emerging AI tools and technologies - know what’s hype and what’s actually useful
Help refine AI training for the wider organisation, including Software Engineering teams
Technical Environment 💻
AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)
Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)
Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations
Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production
Our Approach
Build, don’t just advise — this is a hands-on team that ships working automations and agents
Prove the value, then expand — start with two engineers, demonstrate impact, grow from there
Product-focused mindset — treat internal teams as customers and build tooling that works
Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz
What You Need
We’re looking for someone with a strong technical background and product-focused. You won’t be building models - we have Data Science teams for that. You’ll be building agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.
Required Experience:
Hands-on experience building automations — scripting, workflow tools, or AI-assisted development
Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar
Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms
People leadership experience — you’ve led or mentored engineers and can own a team’s delivery and development
Why This Role?
This is a brand new team within the business, reporting to the Director of Security. The tech stack is proven - twelve months of Claude, Notion, HiBob, and Entra automations already running. The team structure is what’s new. That’s yours to shape. You’ll start with two engineers. Prove the value. Expand from there.
The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can’t scale by hiring forever. Customer-facing staff who need tools that actually work.
M-KOPA provides affordable financial and digital products to underserved communities across Africa - unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don’t just save time internally - they help that mission reach more people.
If you want to decide how AI actually gets used at scale across a growing fintech – this is the opportunity
Location & Benefits
🌍 Fully remote role within UTC -1 to UTC +3 time zones
🤝 Work with diverse teams across UK, Europe, and Africa
📚 Professional development programmes and coaching partnerships
👨👩👧👦 Family-friendly policies and flexible working arrangements
💚 Well-being support and career growth opportunities
Our Mission 🌍
We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.
Our Impact 💚
Our technology has created measurable change:
Connected 📱: 2.5 million first-time smartphone users connected
Prosperous 💰: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents
Green 🌱: 2.1 million tonnes of CO₂ avoided through clean energy products, with over 127,700 circular economy products provided
Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion?
Apply Now
At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.
Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.
Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Important Notice
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.
If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.
Lead an AI Ops team building automations and agents that improve internal workflows and customer-facing products across a global fintech organization.
We’re hiring our first Lead AI Automation Engineer to lead a team that designs, ships, and scales automations and AI agents across M-KOPA. This is a brand-new team within the business - the tech foundation is already proven, and now we need someone to lead it, scale it, and define what it becomes.
The Impact
Your automations and agents will directly improve how 2,300+ employees work across our global operations. We’ve already helped over 7 million customers access over $2 billion in credit - and the tools you build will help that mission scale further and faster. It’s your chance to be part of something that’s literally transforming lives across an entire continent 🌍
The Opportunity
🎯 Mission-driven engineering: Every automation you build helps internal teams and customer-facing staff deliver financial inclusion to Africa’s Every Day Earners
🏆 Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022–2025)
🚀 Scale challenges: 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe - internal teams that can’t scale by hiring forever need intelligent tooling that actually works
🌱 Environmental impact: We’re carbon-negative, having displaced over 2 million tonnes of emissions
What You’ll Do
At M-KOPA, you’ll lead the AI Ops team from day one - owning delivery, growing the function, and proving the value. Your team builds automations and agents for internal use and serves as internal consultants, helping Software Engineering teams integrate AI into customer-facing products. Join us in combining cutting-edge AI tooling with purpose-driven work that makes digital and financial inclusion possible across Africa.
Your key responsibilities:
Lead two AI Ops Engineers — own their delivery, development, and day-to-day work
Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you’ll help develop and improve
Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work
Keep the AI tooling stack healthy as usage scales across 2,500+ employees
Stay current on emerging AI tools and technologies - know what’s hype and what’s actually useful
Help refine AI training for the wider organisation, including Software Engineering teams
Technical Environment 💻
AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)
Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)
Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations
Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production
Our Approach
Build, don’t just advise — this is a hands-on team that ships working automations and agents
Prove the value, then expand — start with two engineers, demonstrate impact, grow from there
Product-focused mindset — treat internal teams as customers and build tooling that works
Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz
What You Need
We’re looking for someone with a strong technical background and product-focused. You won’t be building models - we have Data Science teams for that. You’ll be building agents, shipping automations, and leading a team that makes M-KOPA’s internal operations smarter and faster.
Required Experience:
Hands-on experience building automations — scripting, workflow tools, or AI-assisted development
Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar
Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms
People leadership experience — you’ve led or mentored engineers and can own a team’s delivery and development
Why This Role?
This is a brand new team within the business, reporting to the Director of Security. The tech stack is proven - twelve months of Claude, Notion, HiBob, and Entra automations already running. The team structure is what’s new. That’s yours to shape. You’ll start with two engineers. Prove the value. Expand from there.
The problems are complex. 2,500+ employees across Kenya, Uganda, Nigeria, Ghana, South Africa, the UK, and Europe. Internal teams that can’t scale by hiring forever. Customer-facing staff who need tools that actually work.
M-KOPA provides affordable financial and digital products to underserved communities across Africa - unlocking access to smartphones, credit, and insurance for millions of people. The automations and agents you build don’t just save time internally - they help that mission reach more people.
If you want to decide how AI actually gets used at scale across a growing fintech – this is the opportunity
Location & Benefits
🌍 Fully remote role within UTC -1 to UTC +3 time zones
🤝 Work with diverse teams across UK, Europe, and Africa
📚 Professional development programmes and coaching partnerships
👨👩👧👦 Family-friendly policies and flexible working arrangements
💚 Well-being support and career growth opportunities
Our Mission 🌍
We create financial inclusion for the traditionally excluded through a fair, flexible, customer-centric financing model. We strive to drive greater inclusion of women, youth, and low-income communities.
Our Impact 💚
Our technology has created measurable change:
Connected 📱: 2.5 million first-time smartphone users connected
Prosperous 💰: 70% of customers use M-KOPA products for income generation, with 35,000+ livelihoods created for agents
Green 🌱: 2.1 million tonnes of CO₂ avoided through clean energy products, with over 127,700 circular economy products provided
Ready to lead a brand-new AI team - shipping agents and automations that drive real-world financial inclusion?
Apply Now
At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.
Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.
Recognized four times by the Financial Times as one Africa’s fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we’ve served over 6 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.
Important Notice
M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.
M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.
M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.
Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.
If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include; criminal records, identification verification, academic qualifications, employment dates and employer references.
Senior technical leader builds AI-powered tools and agent integrations for SMB clients, owning product vision and technical execution from founding stage.
Headquarters: Florida
URL: http://Calibrategroup.ai
About the Role:
We're hiring our founding technical hire — a Senior Technical Lead who will own the entire technical vision and execution. This is a co-builder role, not a cog-in-machine role.
This is an application-layer engineering role. You'll be building AI-powered tools that solve real business problems for real operators — not managing GPU clusters, optimizing inference pipelines, or scaling cloud infrastructure. If you get more excited connecting QuickBooks to an AI agent that saves a business owner 10 hours a week than you do tuning Kubernetes configs, keep reading.
What You'll Own
What We're Looking For
To apply: https://weworkremotely.com/remote-jobs/calibrate-group-ai-senior-technical-lead
Designs and deploys AI automation systems across business operations, integrating tools like Zapier and Claude to streamline workflows, eliminate manual processes, and improve organizational efficiency.
Headquarters: Raleigh, North Carolina
URL: http://caulgroup.com
This search is open exclusively to candidates based in Latin America.
Preference for Uruguay, Costa Rica, or Colombia.
BACKGROUND CONTEXT
Every department at Caul Group is generating AI and automation ideas faster than they can be built. This role turns those ideas into operational reality — and finds the ones nobody thought to ask about yet.
You are not advising. You are not consulting. You own the systems layer of this business and make it faster, cleaner, and more profitable — auditing what we have, identifying what is broken, redundant, or missing, and building the infrastructure that fixes it permanently.
This is a deeply technical, execution-focused role for someone who thinks in system connections. When someone says "our Google LSA leads are not showing up correctly in Follow Up Boss," you trace the integration chain, find where the handoff failed, and build the fix. You do not wait to be asked.
Your primary collaborators: the Founder, the Broker in Charge, the Director of Marketing, and the Founder's Chief of Staff. The defining partnership is with the Director of Marketing. They own creative, campaigns, and the team. You own the infrastructure — attribution architecture, lead pipeline connections, systems tracking what works from first ad impression through closed transaction. They read the output. You build and tune the machine.
If you worked here last week, you might have:
Scoped and deployed a Zapier integration between Follow Up Boss and ClickFunnels so new leads from Ylopo automatically get tagged, assigned, and entered into the correct pipeline, eliminating the daily manual lead routing the team was doing every morning and stopping revenue from falling through the cracks
Built an automated coaching intelligence system that pulls agent call data from Follow Up Boss, breaks it down by agent, and delivers a weekly report to each coach using Claude to analyze call patterns, flag agents avoiding follow-ups, identify cold databases, and surface conversion gaps so coaches walk into one-on-ones with data-backed talking points instead of guessing
Created a Replit dashboard pulling listing data from Open to Close and Baserow so the Founder has real-time visibility into active listings, pending transactions, and closed deals without digging through three platforms
Architected the full new agent onboarding automation, functioning as an HR system in a box, where a signed agent triggers auto-generation of their 90-day drip campaign, onboarding checklist, and Follow Up Boss contact setup, with Agently automations monitoring task completion and sending accountability nudges when agents fall behind
An immediate cross-functional initiative in your first 30 days:
We are running SISU as our performance reporting CRM with over 110 lead source categories that need to be consolidated into a clean, standardized taxonomy. This project runs in collaboration with our fractional CFO and directly enables accurate agent performance tracking, revenue attribution, and leadership visibility into who is producing and where. The right person for this role does not manually clean this data. They build the AI agent or automation system that executes it, then govern the schema so it never gets this bloated again.
CORE RESPONSIBILITIES
This is a leadership role of ownership, not task lists. Here is what you will lead:
AI Tool Building You build Claude projects, Claude skills, and prompt systems that replace manual work across every department. These are production tools team members rely on daily, with structured inputs, validation logic, and clean outputs. Not experiments. Infrastructure.
ClickFunnels Workflow Execution You build and maintain ClickFunnels funnels, pipelines, email automations, and workflow triggers. You handle integration between ClickFunnels, Follow Up Boss, and the broader stack and ensure nothing breaks during high-volume listing seasons.
Dashboard and Data Pipeline Development You build dashboards and connect data pipelines using Replit, Baserow, Zapier, and Claude. When leadership needs visibility into a metric, you architect the flow from data source to clean visual output and ship a working, reliable tool.
CRM and Transaction Integration You own and improve integrations across Follow Up Boss, Open to Close, Ylopo, ClickFunnels, and SISU, ensuring leads, contacts, and transactions flow cleanly between systems with zero manual handoffs.
Scope Brief Execution Every build starts with a structured scope brief. You review it, confirm deliverables, ask smart questions before you start, execute on spec, self-QA against success criteria, and log your hours. You do not wait to be walked through every step.
Documentation and Handoff Every build includes documentation: what it does, how it works, how to maintain it, and where it lives. You use AI to generate first drafts and edit for accuracy. A build without documentation is not a completed build.
WHAT SUCCESS LOOKS LIKE
You own these key metrics:
Build Velocity: Ship 6 to 10 completed builds per month, ranging from 2-hour quick builds to multi-day architecture projects.
Turnaround Time: Quick builds under 4 hours delivered within 24 to 48 hours of assignment. Larger builds delivered within scoped timeline with zero missed deadlines.
Quality and QA: 90% or more of builds pass first review without rework, meaning you self-checked against the scope brief before marking it complete.
Documentation Compliance: 100% of completed builds include clean documentation within 24 hours of delivery.
System Uptime: Automations, dashboards, and integrations maintain 95% or greater reliability, especially during high-volume listing seasons.
WHO YOU ARE
You are not a generalist. You are not an AI enthusiast. You are a technical expert with a proven track record of building revenue infrastructure that works in production and the ability to teach what you build to the leaders around you.
CORE REQUIREMENTS
7+ yrs of hands-on experience in a lethal combination of revenue systems, CRM architecture, AI automation, RevOps, or technical operations. Hard floor. We are paying top of LATAM independent contractor market and expect depth, not potential.
Direct experience deploying AI agents and AI-driven automations that are live in production, solving real business problems, with measurable outcomes. Not demos. Not prototypes.
Expert-level Claude fluency. We are a Claude-first organization. Mastery of Claude Projects, Claude Skills, and Claude Cowork is mandatory.
Ability to teach at the highest level. You can explain complex systems architecture to non-technical leaders and teach department heads how to use and maintain what you build. This is not a role for someone who builds in isolation.
Comfortable in fast-moving, imperfect environments where infrastructure is incomplete and priorities shift.
Comfortable working with high-driver, direct personalities. This is not a soft culture.
U.S. residential real estate experience is strongly preferred. Ability to ramp on it independently is the minimum acceptable alternative.
Technical Fluency — CRM Architecture
CRM data schema design, normalization, and governance
Tag taxonomy design and enforcement at scale
Contact lifecycle mapping and pipeline logic
Data deduplication and clean record management
Follow Up Boss at a deep architectural level, or a directly comparable CRM
Technical Fluency — Lead Routing and Attribution
Lead routing logic and source attribution methodology
UTM parameter design and source integrity
Multi-touch attribution models including first-touch, last-touch, linear, and time-decay
Tracing broken source attribution back through an integration chain
Funnel analytics and conversion tracking from first contact through close
Technical Fluency — Integration and API Architecture
REST API design, consumption, authentication via OAuth 2.0, rate limiting, pagination, and error handling
Webhook architecture and event-driven integration design
Custom connector development when no off-the-shelf option exists
Automation platform architecture across Zapier, Make, and n8n and when to build custom instead
Data pipeline design and cross-platform data routing with proper error handling
Marketing technology integrations including ad platform APIs and digital-to-CRM lead journey mapping
Technical Fluency — AI Systems and Agent Development
AI agent design, orchestration, and production deployment
Model Context Protocol (MCP) and context-aware AI system design
LLM API integration with Anthropic Claude as the primary platform
Prompt engineering at a systems level with structured input handling, fallback logic, and formatted outputs
Retrieval-Augmented Generation for business context applications
Scope brief execution, self-QA, and building systems that are maintainable by others
CANDIDATE PATHS
Path A is a systems expert with direct U.S. residential real estate experience on the technology side, not as an agent. You have lived inside Follow Up Boss, built or repaired lead routing, and understand the full sales funnel from capture through close.
Path B is a technical expert whose background is in RevOps, growth engineering, or AI automation, with depth so strong you ramp on real estate context independently without needing fundamentals explained.
Path A is preferred. Path B is fully accepted if the technical depth is exceptional.
What We Will Not Accept
Anyone whose AI experience is limited to building custom ChatGPT bots
Zapier-only candidates presenting themselves as systems architects
Agency consultants who have overseen builds without hands-on implementation
Traditional operations managers or people-management-heavy ops leads
Anyone whose case studies are outcomes with no architecture behind them
Anyone who needs a task list to understand what to work on
Every stage of our interview process requires you to demonstrate your work at a technical level, including sharing your screen.
TECH STACK
We are a Claude-first organization. Expert-level mastery of Claude, Claude Projects, Claude Skills, and Claude Cowork is required, not preferred.
Current Stack: Follow Up Boss, ClickFunnels, Open to Close, SISU, Ylopo, Agently, Zapier, Replit, Baserow, Notion, Google Workspace, Slack, ManyChat. This list is not exhaustive. Part of your mandate is to audit what we have, identify redundancies, and recommend what stays, what goes, and what we are missing.
INTERVIEW PROCESS
Apply via LinkedIn only. Do not email us. Do not contact our team through any other channel. Applications submitted outside this posting will not be reviewed.
Answer all pre-screening questions in full. Skip them and you do not move forward.
Stage 1: Interview with the Founder's Chief of Staff. She is a technical powerhouse and an AI witch, and she will be your closest collaborator inside this organization. She is the primary gatekeeper for this process. Come prepared with a minimum of four concrete examples of systems you have built, with full technical specifics, and be ready to share your screen.
Stage 2: Interview with the Founder.
Stage 3: Interview with the Broker in Charge.
Stage 4: Group interview with the Founder, Broker in Charge, and Chief of Staff. You will present a project plan or case study demonstrating how you would approach this role based on what you have learned in the process. No work is performed unpaid. This is your opportunity to show how you think and how you lead.
Offer extended. 90-day trial period begins.
At successful completion of 90 days, you are officially our person.
COMPENSATION STRUCTURE
$5 o $6K USD per month based on experience and test project evaluation.
Structure: Full-time independent contractor (1099). This is an offshore role for candidates based in LATAM.
Pay schedule: Paid in USD on the 1st and 15th of every month, deposited directly into your US bank account or paid out via your platform of choice, e.g., Wise, PayPal, etc.
Location: Fully remote. Preference for Uruguay, Costa Rica, or Colombia.
Professional Development: $1.5 to $3K annual budget for courses, certifications, conferences, and tools.
Workspace: Coworking membership allowance or home office setup budget. Up to you!
HOW TO APPLY
Apply via We Work Remotely or via LinkedIn. Within your resume, make sure to include your LinkedIn profile and a minimum of 4 specific examples of systems, automations, or builds you have created, fixed, or significantly improved. Apps without a minimum of 4 concrete technical examples will not advance. Each example must include the problem, what you built, the technical architecture, and the measurable outcome.
Be prepared to share your screen during the interview process.
To apply: https://weworkremotely.com/remote-jobs/caul-group-director-of-revenue-systems-and-ai-automation
Designs and deploys agentic AI systems across business functions using third-party AI tools, integrating them with data ecosystems and mentoring junior developers.
WELCOME TO OLX
We’re building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It’s commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that’s ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we’re backed by Prosus, one of the world’s largest tech investors.
Join OLX and see how far you can go.
We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team. In this role, you will be responsible for designing an Agentic AI platform using available 3rd party tools and connecting them to our data ecosystem, and then testing and deploying end-to-end agentic systems that automate core business functions across Finance, HR, Legal, Customer Support, and other critical areas.
You will work with a diverse range of tools and platforms, including a subset of Claude, Code Interpreter, AWS Quick, N8N, LanGraph and other cutting-edge technologies, to create intelligent, autonomous systems that drive efficiency and deliver measurable business impact.
If you are passionate about building intelligent systems that solve real-world problems and thrive in a fast-paced, dynamic environment, we would love to hear from you!
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement .
Lead engineer designs and deploys agentic AI systems using third-party tools to automate business processes across finance, HR, legal, and support functions.
WELCOME TO OLX
We’re building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It’s commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that’s ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we’re backed by Prosus, one of the world’s largest tech investors.
Join OLX and see how far you can go.
We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team. In this role, you will be responsible for designing an Agentic AI platform using available 3rd party tools and connecting them to our data ecosystem, and then testing and deploying end-to-end agentic systems that automate core business functions across Finance, HR, Legal, Customer Support, and other critical areas.
You will work with a diverse range of tools and platforms, including a subset of Claude, Code Interpreter, AWS Quick, N8N, LanGraph and other cutting-edge technologies, to create intelligent, autonomous systems that drive efficiency and deliver measurable business impact.
If you are passionate about building intelligent systems that solve real-world problems and thrive in a fast-paced, dynamic environment, we would love to hear from you!
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement .
Lead designs and deploys agentic AI platforms integrating third-party tools to automate core business workflows across Finance, HR, Legal, and Customer Support.
WELCOME TO OLX
We’re building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It’s commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that’s ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we’re backed by Prosus, one of the world’s largest tech investors.
Join OLX and see how far you can go.
We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team. In this role, you will be responsible for designing an Agentic AI platform using available 3rd party tools and connecting them to our data ecosystem, and then testing and deploying end-to-end agentic systems that automate core business functions across Finance, HR, Legal, Customer Support, and other critical areas.
You will work with a diverse range of tools and platforms, including a subset of Claude, Code Interpreter, AWS Quick, N8N, LanGraph and other cutting-edge technologies, to create intelligent, autonomous systems that drive efficiency and deliver measurable business impact.
If you are passionate about building intelligent systems that solve real-world problems and thrive in a fast-paced, dynamic environment, we would love to hear from you!
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement .
Manages AI agents, automation workflows, and Intercom platform strategy to optimize customer support deflection and operational efficiency.
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world’s largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
In this role, you will set the direction for how Apollo uses AI and automation within our support platform, own the execution of that strategy, and drive adoption across the org. This is a high-ownership role that requires someone comfortable operating with autonomy and building from a blank page.
You will have full ownership over our Intercom platform, AI agent configuration, and the workflow automation layer that sits beneath it. You will define the roadmap for your domain and partner with your manager when decisions require broader cross-functional alignment or executive sponsorship. The expectation is that you bring a clear point of view and can back it up with data.
You influence adjacent team roadmaps, set direction for your area, and operate without day-to-day guidance. If you thrive in ambiguous, high-impact environments and want to own a critical piece of how we serve our customers, we would love to hear from you.
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Tier 1 Pay Range (San Francisco, New York City, Seattle)
$159,000—$199,000 USD
Tier 2 Pay Range (All other US Locations)
$138,000—$173,000 USD
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here.
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more here!
Owns AI agent configuration, workflow automation strategy, and Intercom platform optimization to drive customer support deflection and cross-functional adoption.
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world’s largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
In this role, you will set the direction for how Apollo uses AI and automation within our support platform, own the execution of that strategy, and drive adoption across the org. This is a high-ownership role that requires someone comfortable operating with autonomy and building from a blank page.
You will have full ownership over our Intercom platform, AI agent configuration, and the workflow automation layer that sits beneath it. You will define the roadmap for your domain and partner with your manager when decisions require broader cross-functional alignment or executive sponsorship. The expectation is that you bring a clear point of view and can back it up with data.
You influence adjacent team roadmaps, set direction for your area, and operate without day-to-day guidance. If you thrive in ambiguous, high-impact environments and want to own a critical piece of how we serve our customers, we would love to hear from you.
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Tier 1 Pay Range (San Francisco, New York City, Seattle)
$159,000—$199,000 USD
Tier 2 Pay Range (All other US Locations)
$138,000—$173,000 USD
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here.
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more here!
Builds and deploys multi-agent AI systems to automate engineering workflows, develop developer tools, and productionize LLMs for autonomous driving technology.
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:
You have:
We prefer:
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
