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 the team regardless of starting point

Contribute to the growth and development of our core values: We Before Me, Positive Energy, Knowledge Explorer, and Own It

Drive AI-Native Practice

Model AI-native development practices yourself: use AI tools actively in how you plan, communicate, analyze work, and operate as a manager

Reinforce the team’s AI-native standards in every interaction: planning sessions, reviews, retrospectives, and day-to-day decision-making

Partner with the Principal Engineer to ensure delivery practices support, rather than constrain, the team’s ability to build agentic and AI-driven solutions

Stay current on AI tooling and agentic system capabilities; the expectation is that you adapt quickly to new tools and approaches as they emerge

Operate with Judgment Adaptability

Make decisions with the information available; waiting for certainty is not an option in an environment that moves at this pace

Adapt quickly as priorities, tools, and circumstances change; bring the team with you without losing momentum

Navigate ambiguity at the team level while maintaining clarity for the individuals on your team about what they are working on and why

Build and maintain strong working relationships across engineering, product management, and operations to keep work flowing and dependencies resolved

What We’re Looking For

Leadership People Management

Demonstrated experience managing a software engineering team of meaningful size; you have hired, developed, and managed out, and you can speak to each with specificity

Track record of building high-performing teams, including integrating engineers with different skill levels and backgrounds into a cohesive unit

Direct, honest communicator: equally effective giving feedback to an individual engineer and presenting delivery status to senior leadership

You treat performance management as a core competency: you set clear expectations, give direct feedback, and don't let underperformance linger

Delivery Ownership

Proven ability to own end-to-end delivery across multiple concurrent workstreams with genuine accountability for outcomes

Fluency with kanban-based delivery: WIP management, flow metrics, continuous prioritization, and outcome-based planning

Ability to engage with business problems deeply enough to make good sequencing and trade-off decisions, not just manage tasks

Bias for action: you make the call, communicate it clearly, and adjust if you are wrong

AI Fluency Adaptability

You use AI-assisted development tools and agentic systems regularly and with genuine depth: you have opinions about them, you are actively developing you…