Manager, Software Engineering

• 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

• 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

• 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

• 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

• You use AI-assisted development tools and agentic systems regularly and with genuine depth: you have opinions about them, you are actively developing your practice, and you model that standard explicitly for the engineers on your team
• Demonstrated ability to adapt quickly to new tools, processes, and circumstances; your default response to change is to engage, not to resist
• Curiosity about where AI-native engineering is heading and how it will continue to change the work of building and leading software teams

• High judgment in ambiguous situations: able to weigh competing priorities, make defensible calls, and take accountability for the outcome
• Ability to maintain clarity and focus for a team operating in a fast-moving, sometimes uncertain environment
• Strong written and verbal communication; the team and the organization should always know where things stand and why decisions were made

• Track record of driving scope and priority decisions at the team level: connecting what the squad is building to measurable business outcomes and pushing back when the work doesn't align
• You engage with the business problem your team is solving, not just the delivery plan; you can distinguish between a well-scoped initiative and one that will move the wrong metric

• Experience leading a team through a meaningful shift in how they work: a new delivery model, a major change in tooling, or a significant restructuring of how engineering and product collaborated
• Hands-on experience with AI-native or agentic development environments, either as an engineer or as a manager of engineers doing that work
• Background in financial services technology or other highly regulated, operationally complex domains
• A track record of integrating tenured employees and new hires into a cohesive unit, particularly where cultural alignment and skill development were part of the challenge

• Lead a team building AI-native systems in production, in a domain where the business consequences are direct and measurable: $2 trillion in assets, millions of accounts, and a business model that is actively transforming
• Operate as a genuine peer to a Principal Engineer, with clear ownership of delivery and people in a function that has executive sponsorship and dedicated funding
• Build something net-new: the team, the operating model, and the culture are yours to shape
• The Efficiency Build mission is concrete and measurable; you will always know whether the work is moving the right metrics

• B. S. in Computer Science or equivalent work experience
• 5+ years of software engineering experience; strong enough technical background to evaluate engineering trade-offs, read designs critically, and earn the respect of the Principal-level engineers on your team
• 3+ years of people management experience in a software engineering context, managing a team of at least 5 engineers with clear evidence of hiring, developing, and managing direct reports

Vestmark is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

Vestmark prohibits employment discrimination on the basis of race, color, religion, gender identity, sex, sexual orientation, pregnancy, national origin, age, disability status, protected military or veteran status, and genetic information. #LI-TG1 #LI-Hybrid

Vestmark takes a market-based approach to compensation to ensure we pay fairly and competitively.

for this role depends on several factors such as skills, experience, qualifications, job scope and location.

In addition to base salary, Vestmark offers a comprehensive total rewards package, which includes equity-based grants for all new hires, company-paid medical premiums of 90%, a competitive time-off program, and other variable compensation, if eligible.