Sr. AI GTM Engineer

Responsibilities

• Design and implement end-to-end AI workflows that power core Growth use cases (e.g., lifecycle/email, in-product prompts, performance marketing, winback, onboarding, experimentation)
• Turn loosely defined business goals and briefs into concrete, agent-powered flows: from data ingestion and grounding through orchestration logic to user-facing surfaces (email, in-product, ads, sales handoffs)
• Build internal tools and AGUI that let marketers and operators configure, monitor, and iterate on AI-driven journeys without needing a developer for every change
• Partner with marketers and analysts to prototype quickly and run experiments using AI-powered MVPs, measuring impact on conversion, engagement, retention, revenue, and LTV
• Drive change management and enablement, working hand in hand with business stakeholders to evolve their day-to-day processes and deeply adopt AI-powered tools
• Coach marketers and other business stakeholders on how to maintain, upgrade, and improve AI workflows so teams become increasingly self-sufficient over time
• Partner with IT, Data Engineering, and platform teams to identify gaps and opportunities in data access, tooling, and foundational capabilities across use cases
• Document patterns, reusable components, and learnings so that successes can be replicated across teams and inform investments in data foundations and AI capabilities

Requirements

• Basic 8+ years of experience building user-facing software applications (front-end, back-end, or full-stack)
• 1+ years of hands-on experience in AI engineering with large language models (LLMs), coding assistants, or agentic systems
• Experience in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java, or similar)
• Experience with Growth / GTM metrics and concepts (e.g., funnel conversion, activation, retention, LTV, CAC payback)
• Bachelor’s degree or equivalent practical experience
• Preferred: Experience with agent frameworks such as Azure Agentic Framework, AutoGen, LangGraph, CrewAI or similar, including designing multi-agent workflows
• Strong understanding of prompt design, retrieval strategies, LLM evaluation frameworks, and common failure modes for LLM-based systems
• Familiarity with data platforms and GTM stacks such as Snowflake, CDPs, Iterable, Hightouch, Salesforce/CRM, ad platforms, and product analytics
• Experience working in cross-functional Growth or GTM teams (Marketing, Sales, Product Led Growth, Sales Development, RevOps, Data), ideally in B2B SaaS
• Comfort working in an environment that values speed, experimentation, and learning over perfection, while maintaining a high bar for reliability in production

Qualifications

• Wage Transparency: Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
• California: $164,700.00 - $266,000.00 base salary
• This Role Is Also Eligible For The Following Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Benefits: Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region; Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement; Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment; Retirement Plans: select retirement and pension programs with potential for employer contributions; Learning and Development: options for coaching, online courses and education reimbursements; Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events.

Skills

• Basic 8+ years of experience building user-facing software applications (front-end, back-end, or full-stack)
• 1+ years of hands-on experience in AI engineering with large language models (LLMs), coding assistants, or agentic systems
• Experience in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java, or similar)
• Experience with Growth / GTM metrics and concepts (e.g., funnel conversion, activation, retention, LTV, CAC payback)
• Strong understanding of prompt design, retrieval strategies, LLM evaluation frameworks, and common failure modes for LLM-based systems
• Familiarity with data platforms and GTM stacks such as Snowflake, CDPs, Iterable, Hightouch, Salesforce/CRM, ad platforms, and product analytics
• Experience working in cross-functional Growth or GTM teams (Marketing, Sales, Product Led Growth, Sales Development, RevOps, Data), ideally in B2B SaaS
• Comfort working in an environment that values speed, experimentation, and learning over perfection, while maintaining a high bar for reliability in production

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

Pay

• California: $164,700.00 - $266,000.00 base salary

Schedule

• Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)