Job Description

SVP Product & ML

US Remote (San Francisco preferred)

$400k+ base + bonus + equity

'We’re a Series B AI-native company with over $100M in funding, backed by tier-1 investors and building next-generation enterprise solutions powered by machine learning. As we scale, we’re looking for a Senior Vice President of Product & ML to own our product vision, lead cross-functional teams, and grow our machine learning and data science functions from the inside out.

This is a unique opportunity for a hybrid ML engineer and product leader —someone equally comfortable building out a roadmap as they are rolling up their sleeves to design algorithms or optimize models. You’ll report directly to the CEO and play a central role in defining how our products evolve, how we scale data science capabilities, and how we deliver transformational impact for enterprise customers.

We're an ambitious AI startup on a mission to redefine how people delegate work — not just tasks. We're building AI-powered agents that take action across thousands of tools, making automation radically more intuitive, flexible, and useful.'

What You’ll Do

Product Leadership

• Define and evolve the product vision, strategy, and roadmap, aligning it with long-term company objectives and customer needs with a focus on enterprise motion.
• Build and lead a world-class product organization, with a focus on fast, high-quality execution.
• Collaborate closely with engineering, sales, and customer success to launch features that drive measurable customer value and revenue growth.
• Communicate product direction to internal stakeholders and external customers, including board-level presentations.

ML Engineering & Data Science Leadership

• Lead the development and integration of machine learning systems across our core product lines.
• Build and scale a high-performance data science and ML engineering team.
• Create a framework for prioritizing applied AI initiatives with clear metrics tied to business outcomes.
• Help with designing of models, evaluate architectures, optimize performance, and support production ML pipelines.

Execution & Delivery

• Own the product delivery lifecycle—from strategic planning to day-to-day execution and delivery.
• Prioritize initiatives effectively in a fast-paced environment with constrained resources.
• Implement best-in-class processes for product development, experimentation, and customer feedback loops.

What You Bring

• 15+ years in product, 7+ in leadership roles in B2B SaaS, with significant hands-on ML or data science experience.
• Proven track record building enterprise products with real ML/AI capabilities used by > XXXK of customers.
• Experience growing a product from ~$50M to $100M+ in ARR, ideally within a startup or scale-up environment.
• Demonstrated ability to manage complex technical products and ship high-impact features on a monthly release cycle.
• Proficiency in modern ML techniques (e.g., NLP, recommender systems, generative models) and deep understanding of data infrastructure.
• Exceptional communicator with presence—you can inspire a room and build trust across all levels of an organization.
• Bachelor's degree and master’s degree in computer science, Engineering, Artificial Intelligence.

Bonus Points

• Have experience scaling an AI -native org or product over 2+ years
• Come from one of the big AI names such as OpenAI, Anthropic, Google Deepmind, Inflection etc… or an AI lab within a larger enterprise technology company.

If you meet these requirements please apple above.

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