Product Manager

What You’ll Do

Backlog Ownership and Delivery

• Own and maintain a healthy, prioritized product backlog aligned to company priorities
• Break down initiatives into epics, stories, acceptance criteria, and implementation-ready requirements
• Partner closely with engineering to ensure work is clearly scoped, refined, and sequenced
• Ensure the team is working on the highest-impact opportunities with minimal ambiguity
• Support sprint planning, backlog refinement, and delivery follow-through

Product Development Execution

• Translate product direction into actionable requirements and user stories
• Ensure work moves through a clear product development lifecycle from discovery to launch
• Identify dependencies, risks, edge cases, and operational considerations early
• Partner with design to ensure workflows and requirements are grounded in real user needs
• Help drive launch readiness, user acceptance testing, and post-launch learning

Cross-Functional Collaboration

• Work closely with Product, Engineering, Design, Customer Success, Operations, and other internal stakeholders
• Gather input from stakeholders and customers to shape requirements and priorities
• Facilitate alignment when tradeoffs are needed across scope, timing, and quality
• Act as a connective tissue between strategy and execution across teams

Quality and Process Improvement

• Raise the bar on requirement quality, acceptance criteria, and release readiness
• Help create more discipline around prioritization, backlog health, documentation, and execution
• Support consistent processes for intake, triage, refinement, and launch planning
• Identify opportunities to improve how teams collaborate and deliver product outcomes

What Success Looks Like

In this role, success means:

• Engineering teams have clear, well-defined work and fewer blockers caused by ambiguity
• Backlogs are healthy, prioritized, and aligned to business goals
• Stakeholders are informed, aligned, and engaged at the right points in the process
• Releases are better planned, better tested, and more predictable
• Product initiatives move faster with improved quality and less rework
• Customers receive solutions that are practical, valuable, and measurable

Qualifications Required

• 2 -5 years of experience in a Product Owner, Product Manager, Business Analyst, or similar product delivery role
• Experience working closely with software engineering teams in agile environments
• Strong ability to write user stories, acceptance criteria, process flows, and functional requirements
• Demonstrated skill in backlog management, prioritization, and cross-functional coordination
• Strong communication and organizational skills with high attention to detail
• Ability to operate in ambiguity and bring structure to fast-moving environments
• Comfortable balancing strategic context with hands-on execution

Preferred

• Experience in SaaS, vertical software, SMB technology, marketplaces, or workflow tools
• Experience supporting products that blend software and operational/service components
• Familiarity with tools such as Jira, Confluence, Figma, and analytics platforms
• Experience working on customer-facing workflows such as lead management, communications, onboarding, or growth operations
• Exposure to AI-enabled products, automation, or internal operational tooling
• Deep customer empathy paired with strong product and design instincts. 
• Genuine enthusiasm for AI, demonstrated through hands-on experimentation, building, prototyping, or independent projects, along with an active effort to stay current on emerging tools and research. 
• Strong grasp of foundational LLM concepts and systems, including prompting, fine-tuning, embeddings, retrieval, and evaluation, with the product judgment to turn them into dependable user experiences. 
• Proficiency with modern prototyping and builder tools such as Cursor, Bolt, and Claude Code, along with ease in collaborative environments like Figma and Git. 
• Strong command of data, experimentation, and decision-making, including the ability to recognize when data alone will not provide the answer. 
• Ability to bridge technical and non-technical perspectives, translating complex systems into clear, compelling narratives. 
• Exceptional written and verbal communication skills, with strong storytelling ability.