# Manager, Software Engineering **Company:** [Vestmark](https://hotfix.jobs/companies/vestmark) **Location:** Boston, MA **Role:** Engineering Management **Salary:** $155k – $165k/yr **Experience:** 5+ years **Skills:** Kanban, AI Tools, Agentic Systems, People Management, Performance Management, Software Engineering, Financial Services Technology **Posted:** 2026-06-30 > Lead and develop a team of up to 12 engineers delivering AI-native wealth management solutions. Own kanban-based delivery, people management, and AI fluency practices while partnering with a Principal Engineer on technical direction. Requires 5+ years software engineering and 3+ years managing engineering teams. ## Job Description ## 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 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 ### Judgment & Communication - 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 ### Product Mindset - 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 ## What Will Help You Stand Out - 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 ## Education & Experience - 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 ## Similar roles - [Pricing Engineering Manager](https://hotfix.jobs/jobs/95b90696-a7fa-42a4-97f5-fe99fd7f55f4) - SpotHero - Chicago, IL - $152k – $190k/yr - [Engineering Manager, Smart Signals](https://hotfix.jobs/jobs/7f46cf6c-1220-4a15-948c-2cede508e68b) - Fingerprint - Remote - $159k – $215k/yr - [Software Engineering Manager III - Growth](https://hotfix.jobs/jobs/4af77321-1ce6-4e00-83fb-efb453983d04) - Onxmaps - Missoula, MT - $150k – $188k/yr - [Engineering Manager - Robotic Systems and Test](https://hotfix.jobs/jobs/ecb31ab4-e514-4041-8489-6ad6ffea0214) - Applied Intuition - San Diego, CA - $150k – $200k/yr - [QA Engineering Manager](https://hotfix.jobs/jobs/eadb4550-9b72-4546-a8b7-55c0a200b354) - Creditgenie - Plymouth Meeting, PA - $150k – $250k/yr **Apply:** https://hotfix.jobs/jobs/15a4110e-249b-4126-a54b-084636142782 **Canonical:** https://hotfix.jobs/jobs/15a4110e-249b-4126-a54b-084636142782