Senior Product Manager - AI-Driven SaaS & Strategy

Decision Lens; Arlington (VA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonus plan

Job summary

Decision Lens seeks a Senior Product Manager who transforms customer problems into valuable capabilities. You will engage with customers to understand goals, translate insights into requirements, and partner with Engineering to deliver impactful solutions.

The role emphasizes AI-enabled insights, training across the product lifecycle, and a focus on value over output, with collaboration across teams on the East Coast.

Qualifications

• Bachelor’s degree in business or related field.
• 8+ years of experience in product management, preferably in B2B SaaS or enterprise software.
• Demonstrated ability to uncover the problem behind the request and turn it into a clear, thoughtful product solution.
• Experience translating customer and business needs into clear product requirements and collaborating closely with Engineering to bring them to life.
• Strong written, verbal, and presentation skills for both technical and non-technical audiences, including customers and executives.
• Experience developing and delivering training, presentations, and enablement materials for diverse audiences.
• Strong product judgment and the ability to balance customer, business, and technical considerations.
• Comfort with ambiguity, a habit of questioning assumptions, and the ability to bring structure to complex problems.
• Experience using qualitative and quantitative information to inform product decisions.
• Strong cross-functional collaboration skills and experience facilitating communication and alignment across teams.
• Willingness to learn, adopt, and champion AI and emerging technologies as part of everyday product work.

Responsibilities

• Engage directly with customers to understand their goals, workflows, challenges, and unmet needs.
• Identify patterns and opportunities that go beyond individual feature requests.
• Evaluate opportunities based on customer value, business objectives, and strategic alignment to determine what to build and why.
• Maintain a clear roadmap that reflects those priorities and communicate it to internal teams, customers, and stakeholders.
• Define the problem, target users, use cases, desired outcomes, and value proposition for each opportunity.
• Translate customer and business insights into clear product requirements and capabilities.
• Partner with Engineering and Design to shape solutions, clarify requirements, and navigate tradeoffs.
• Guide capabilities from ideation through release, maintaining alignment between the customer problem and what is being built.
• Apply AI tools and agents to accelerate research, analysis, documentation, and day-to-day product management work, freeing up time for higher-order thinking and better decisions.
• Stay current on how customers are adopting AI in their own organizations and how AI-driven capabilities are reshaping the competitive landscape.
• Use AI and market insights to inform product strategy and roadmap decisions.
• Develop training and enablement that spans the full product lifecycle, from aligning stakeholders on strategy and priorities to helping Engineering understand what gets built and why.
• Equip teams to champion and adopt the product after release.
• Use customer feedback, product analytics, and other signals to understand adoption and determine whether capabilities are delivering their intended outcomes.
• Apply those insights to future product decisions.

Skills

Product management

Customer discovery

AI & market insight

Cross-functional collaboration

Communication

Training & enablement

Analytical thinking

Ambiguity tolerance

Education

Bachelor’s degree in business or related field

Tools

Pendo

Jira

Confluence

Cursor

Claude

Codex

Job description

Decision Lens seeks a Senior Product Manager who transforms customer problems into valuable capabilities. You will engage with customers to understand goals, translate insights into requirements, and partner with Engineering to deliver impactful solutions.

The role emphasizes AI-enabled insights, training across the product lifecycle, and a focus on value over output, with collaboration across teams on the East Coast.