Director of AI Engineering, Apollo.io
$300-450k
AI sales platform for smarter, faster revenue growth
Be an early applicant
AI sales platform for smarter, faster revenue growth
1001+ employees
Be an early applicant
$300-450k
1001+ employees
Company mission
To build the future of go-to-market solutions.
Role
Who you are
- 10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
- Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
- Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
- Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
- Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
- Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
- Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
- Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
- Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
- Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency
- Comfortable balancing rapid experimentation with production rigor, ensuring features are safe, reliable, and measurable
- Thrives in an environment where learning velocity, automation, and continuous improvement are core values
What the job involves
- We are entering a hyper-growth phase of AI innovation and are hiring a Director of AI Engineering to lead the strategy, engineering execution, and cross-functional integration of Apollo’s applied AI systems
- As the Director of AI Engineering, you will own the end-to-end delivery of Apollo’s AI roadmap spanning autonomous agentic systems, LLM-powered workflows, search & relevance, personalization, and production-grade ML infrastructure
- You will lead and scale a high-impact AI Engineering organization responsible for turning cutting-edge AI techniques into real, revenue-driving product capabilities used by millions
- This role sits at the intersection of Engineering, Product, Machine Learning, Growth, and GTM, requiring deep technical leadership, exceptional product intuition, and a track record of shipping AI systems that create measurable business outcomes
- You will define the long-term architecture for agentic AI at Apollo, elevate engineering excellence, mentor senior ICs and managers, and accelerate Apollo’s position as the AI-native leader in the go-to-market ecosystem
- Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
- Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
- Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
- Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
- Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
- Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
- Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
- Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
- Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
- Ensure robust observability, monitoring, and safety guardrails for all AI systems in production
- Drive continuous model improvement through telemetry, feedback loops, and data-driven performance tuning
- Build and lead a world-class AI Engineering team of senior ICs, managers, and cross-functional collaborators
- Foster a culture of experimentation, velocity, and pragmatic engineering, where speed and safety coexist
- Mentor engineers on system design, LLM architectures, distributed systems, and applied ML best practices
- Upskill the broader engineering org in AI-native development, tooling, and automation
- Collaborate closely with Data Science, Product, Design, and Research teams to ensure AI capabilities integrate seamlessly into the GTM user journey
- Accelerate learning cycles by combining LLM experimentation, product iteration, telemetry insights, and engineering automation
- You raise the bar on engineering leadership — setting standards that elevate execution, quality, and innovation across the org
- You operate with ownership and urgency. Apollo ships fast, iterates fast, and expects leaders to turn ambiguity into scalable systems
- You connect AI research to real product outcomes. Novelty matters less than moving business metrics materially
- You excel cross-functionally. You influence Product, Desig, and Data with clarity, technical depth, and pragmatic decision-making
- You thrive in AI-native environments. You use AI daily to accelerate engineering, improve workflows, and teach your teams to do the same
Our take
Today, businesses are struggling to make their go-to-market (GTM) strategies simple, connected, and intelligent. In most organizations, sales and marketing teams juggle a maze of disconnected tools just to reach the right customers and close deals. This results in a lot of manual work and missed opportunities. So Apollo.io is stepping in to fill the gap and redefine how modern revenue teams operate by unifying the entire GTM process under one AI-powered roof.
It's trusted by millions of users and over 550,000 companies, including fast-growing startups to established enterprises like Autodesk and Cyera. Apollo's strength lies in combining B2B data with advanced AI to automate everything from prospecting and outreach to deal management and data enrichment. And its new "Agentic End-to-End GTM Platform" takes this one step further by introducing AI agents that act as co-pilots, working alongside sales and marketing teams to research leads, personalize outreach, and streamline workflows.
Recently, the company surpassed $100M in annual recurring revenue, expanding its leadership team with veterans from Zendesk, Intercom, Box, and Miro, and even launched a major product overhaul centered on its new "Vibe GTM" approach. And with its Agentic platform now bringing AI into every stage of the customer journey, Apollo sure is positioning itself to define the next era of AI-powered sales.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
75% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2023
$100m
SERIES D
Mar 2022
$110m
SERIES C
Total funding: $251.4m
Company benefits
- Remote & in-person roles: Work from wherever you thrive, with all the tools and support you need to be successful.
- Flexible time off: We don't count vacation days. When you need a break, take it — no strings attached.
- Competitive pay: We offer strong salaries, performance bonuses, and equity opportunities for most roles.
- Global healthcare coverage: Medical, dental, and vision benefits are available in the US, Canada, India, and other supported countries.
- Office and learning stipend: Get support for your growth with stipends for books, courses, and home office setup.
- Mental health and coaching support: Access professional coaching and mental health resources for you and your dependents.
Company HQ
SoMa, San Francisco, CA
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