Manager, Software Engineering

Vestmark is building the AI-native future of wealth management technology. We are looking for a Manager who can build and lead the team that delivers it. You will own a team of up to 12 engineers, drive delivery through a kanban-based process you co-own with product management, and operate as a peer to a Principal Engineer who sets the technical direction. The technical authority is theirs. The delivery, the people, and the outcomes are yours.

This role demands high judgment and a genuine bias for action. You will make calls with incomplete information, adapt quickly as tools and priorities evolve, and hold your team accountable for outcomes while investing in their growth. AI fluency is not optional here: you are expected to model the same AI-native practices you require of your team.

Vestmark is a leading provider of wealth management solutions and services that enable financial advisors and institutions to efficiently manage and trade their clients' portfolios using a purpose-built SaaS ecosystem. With over $2 trillion in assets and 5+ million accounts, we are a trusted partner to some of the largest and most respected players across the wealth management industry.

What You’ll Do

Own Delivery

• Co-own the kanban process with product management: maintain flow, manage WIP, prioritize ruthlessly, and hold the team to delivery commitments
• Translate business priorities into clear, sequenced work with defined outcomes and measurable success criteria
• Surface blockers and risks early and resolve them; stakeholders should always have an accurate picture of where things stand
• Apply the principle “fix the process, don’t automate the broken one”: engage deeply enough with the work to know when the solution is right, not just when it is done

Build & Develop the Team

• Recruit, hire, onboard, and develop a team of engineers, including both existing Vestmark engineers and new hires aligned with the AI-native profile we are building toward
• Manage performance actively: set clear expectations, provide direct feedback, recognize strong performance, and address underperformance without delay
• Integrate engineers from different starting points into a cohesive team with shared standards, mutual accountability, and consistently high output
• Invest in each person’s growth, with particular focus on building AI fluency across

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