Sr. Engineering Manager
Leads a team of senior/staff engineers building AI platform infrastructure, LLM evaluation frameworks, and libraries to enable product teams to deploy AI features responsibly. Player-coach with expertise in fullstack AI projects involving LLMs, collaborating with product, engineering, and compliance leaders.
A day in the life
- Lead and grow a team of senior/staff engineers building the foundation that enables all Betterment teams to deploy AI features.
- Identify high-leverage opportunities where AI organically enhances existing product value.
- Sequence your team roadmap to deliver product features that expand our organization’s AI technical capabilities.
- Partner with product teams to ship customer-facing AI functionality to production. Develop broad Betterment domain expertise in the process.
- Partner with legal and compliance leaders to scale processes that enable teams to build AI functionality quickly and responsibly within a regulated financial services environment.
- Cultivate an environment of open communication and creative problem-solving where engineers feel empowered to experiment, learn from failure, and propose ideas that align technical investment with product objectives.
- Translate Betterment’s strong culture of accountability into our AI processes – providing evaluation rigor, model observability, and thoughtful human oversight.
What we’re looking for
- A senior engineering leader capable of hands-on work in our codebase. The ideal candidate will act as player-coach, working alongside their senior and staff IC direct reports to build Betterment’s AI systems.
- Proven track record leading engineering teams working on fullstack AI projects involving LLMs.
- Experience leading projects that affect multiple teams’ software systems, tooling, and development workflows.
- Comfort operating at the frontier. The ability to stay current with the rapidly evolving AI ecosystem.
- Clear judgment about when to use AI and when not to, maintaining a grounded, pragmatic perspective on what we should ship to production today.
- Personal technical expertise with AI tooling and ecosystem and experience making sound build vs buy decisions.
- Ability to build trust, alignment, and process across disciplines and teams.
- Principled approach to balancing the need to move quickly today with the need to move quickly tomorrow, with an appreciation of how to meet high standards for customer quality and regulatory requirements.
Compensation: New York City: $200,000 - $240,000 base salary. Eligible for variable compensation in the form of a company incentive bonus.
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