Senior Product Lead: AI-Powered SDLC Tools & Strategy

8451

Cincinnati (OH)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Health/Dental/Vision

401(k) with match

Paid time off + holidays

Job summary

84.51° is hiring a Lead Product Manager to own the AI-powered software development tools and SDLC transformation. You will partner with business stakeholders, software engineers, and data scientists to understand needs and drive scalable tooling across the enterprise.

You will translate workflows into epics and user stories, define metrics, and guide agile delivery while ensuring governance and responsible AI practices. Applicants must have work authorization in the United States.

Qualifications

Experience in artificial intelligence or generative AI applications.
Experience developing products for software developers or data scientists.
Experience across the full SDLC as Product Manager or Software Engineer.
Strong technical acumen to engage with engineering teams.
Experience in Agile product development and cross-functional teams.
Experience managing roadmaps and end-to-end delivery.
Strong stakeholder management skills across organization.
Experience with coding agents and MCP servers.
Experience creating or using Agent Marketplaces and plugins.
Experience leveraging generative AI chat tools.

Responsibilities

Own and drive the product roadmap, backlog prioritization, and value delivery for AI-powered SDLC tooling and strategy.
Partner with business stakeholders, engineers, and data scientists to identify opportunities to improve the SDLC using AI.
Translate business needs and developer workflows into product requirements, epics, and user stories.
Define and deliver scalable tools, frameworks, and repeatable patterns that enable teams to adopt AI in their development workflows.
Work closely with engineering, UX, and data science teams to deliver high-quality, impactful solutions.
Manage multiple backlogs and priorities across cross-functional teams in an agile environment.
Define success metrics and measure adoption, value realization, and efficiency improvements across the SDLC.
Communicate product strategy, progress, risks, and outcomes to stakeholders at all levels.
Drive continuous discovery through stakeholder interviews, research, and analysis of user workflows.
Ensure alignment with governance, security, and responsible AI practices.