Technical Product Manager

Bitsight•Boston, MA

4d•$108,000 - $162,000

About The Position

Bitsight is seeking a Technical Product Manager to help prioritize and coordinate improvements to engineering processes as AI tools increasingly contribute to writing and reviewing code. The role works closely with engineering teams and AI subject matter experts to improve and adopt AI-supported engineering workflows, bringing developer feedback, evidence, and open decisions to the responsible stakeholders. The Technical Product Manager collaborates with engineering and product leaders on priorities, team participation, and process changes; contributes to the AI SDLC roadmap; coordinates work on the AI code reviewer; and tracks work from ticket to merge request to identify bottlenecks. The role also helps define and monitor quality expectations for AI-generated code, analyzes SDLC timing and metrics, supports adoption of AI tools, and works with security, compliance, and architecture partners to ensure adoption aligns with company policies. It helps adapt and document Bitsight's product process for an AI-driven SDLC and supports planning and coordination for the AI subject matter expert team. Bitsight is a cyber risk management company whose solutions cover enterprise security performance, digital supply chains, cyber insurance, and data analysis. The company reports more than 3,500 customers and more than 600 teammates working from Boston, Raleigh, New York, Lisbon, Singapore, and remote locations. The interview process uses AI-assisted transcription; hiring decisions are made by the recruitment team.

Requirements

Experience as a software engineer, including writing and shipping production code and participating effectively in technical conversations with engineers.
Familiarity with the software development life cycle, from idea through ticket, code, and release.
Strong organizational and project management skills, including tracking multiple concurrent workstreams.
Clear written and verbal communication with engineers, engineering leaders, and other stakeholders.
Comfort working with data and analyzing metrics to assess what is working and what is not.
Bias toward execution: turn priorities into plans, owners, and decisions; follow through and raise blockers early.
Curiosity about how AI changes software development and willingness to learn about related trust and governance questions.

Nice To Haves

SQL or basic data analysis skills.

Responsibilities

Work with engineering and product leaders to agree on priorities, team participation, and process changes; bring product context into engineering discussions and developer feedback into product decisions.
Work with engineering teams on priorities, processes, and how AI fits into their workflows.
Contribute to the AI SDLC roadmap by gathering engineer input, surfacing high-impact AI use cases in coding, review, testing, and documentation, and helping shape priorities with product and engineering leads.
Coordinate work on the AI code reviewer, including needs, priorities, delivery plans, and follow-up with teams and engineering owners.
Track work from ticket to merge request, identify gaps and bottlenecks, and work with teams to address them.
Help teams and product partners agree on quality expectations for AI-generated code edits, track results, flag trends, and follow up with accountable owners.
Analyze SDLC time use, identify major sources of delay, and recommend improvements.
Support adoption of AI tools across engineering by collecting feedback, working with internal champions, and reporting on tool usage.
Coordinate with security, compliance, and architecture partners to help ensure AI adoption is safe and consistent with company policies.
Help update, document, and roll out Bitsight's product process for an AI-driven SDLC.
Support the AI subject matter expert team with planning, prioritization, and coordination of work with engineering teams.