Sr. Product Manager

SuperSummary•Boulder, CO

13h•Remote

About The Position

SuperSummary is seeking a Senior Product Manager to lead strategic product initiatives from end to end — owning strategy, execution, and measurable outcomes in a fast-moving, AI-native product environment. This is a high-agency role for someone who can execute independently and collaborate extensively to deliver outsized results. The ideal candidate combines strong product intuition with deep analytical rigor. You don't wait to be handed a well-scoped problem — you identify the highest-leverage questions, build conviction through research and analysis, and translate complex findings into clear direction for cross-functional teams. We're looking for someone who brings genuine AI fluency to their craft — who has shipped AI-powered features, thinks creatively about what's now possible, and uses agentic tools to move faster independently. If you can take an ill-defined problem space and build a systematic, repeatable engine for delivering user and business value, this is the role for you.

Requirements

5+ years of Product Management experience at innovative, high-growth companies with a demonstrated track record of shipping impactful products
Deep analytical skills – able to independently investigate product questions using data. Familiarity with statistical concepts and the ability to interpret complex datasets independently.
Hands-on AI fluency – demonstrated experience shipping products that incorporate AI or ML capabilities, with a strong understanding of how these tools can be applied in a product context.
Proficiency with agentic coding and AI tools (e.g. Claude Code, Cursor) to prototype, analyze, or automate parts of your own workflow — reducing dependency on engineering for exploratory work.
Demonstrated ability to operate with high autonomy – you take ambiguous problems, structure them, and drive to outcomes without requiring close oversight at each step.
Strong product intuition and intellectual curiosity – you pursue problems deeply, investigate unexpected results, and consistently seek to understand root causes.
Familiarity with Continuous Discovery frameworks and structured user research methodologies.
Excellent English written and verbal communication skills, with the ability to articulate rationale and trade-offs to cross-functional teams with precision and clarity.
Proven ability to work remotely and cross-functionally, coordinating teams across time zones through asynchronous communication.

Nice To Haves

Engineering or technical background — ideally someone who began their career in engineering or data science before moving into product management. Able to read code, understand system architecture, and leverage technical tools independently.
Experience working on an EdTech, content, or consumer subscription product, including familiarity with subscription-based business models, pricing strategies, and retention optimization.
Experience with mobile and web funnel optimization, including onboarding flows, paywall optimization, and conversion strategy.
Familiarity with PLG principles and self-serve conversion optimization, including activation design, paywall strategy, and in-product engagement hooks that move users from discovery to paying customer.
Experience with content or SEO as a core customer acquisition strategy.

Responsibilities

Own the strategic roadmap and OKRs for your product area, aligning efforts with company milestones and long-term business goals.
Drive product strategy in close partnership with executive leadership, identifying and framing high-impact opportunities through user research, product analytics, and competitive analysis.
Identify and champion net-new product concepts — synthesizing market signals, user research, and competitive landscape to generate ideas that open new growth vectors or meaningfully differentiate SuperSummary's offering.
Make prioritization decisions and communicate trade-offs clearly to stakeholders, building influence across teams without relying on positional authority.
Be accountable for delivering measurable returns from product investments, including impact on acquisition, conversion, retention, and lifetime value.
Own product analytics (Amplitude, Google Analytics, Metabase) — define metrics, write queries, build dashboards, and surface insights that inform team-wide decisions.
Design and execute rigorous experiments with sound methodology, clear success criteria, and well-documented results.
Apply analytical competencies across growth loops, funnel and cohort analysis, churn and LTV optimization, and user behavior modeling to drive data-informed product decisions.
Develop deep user empathy through regular qualitative research — interviews, usability sessions, and longitudinal engagement — and translate those insights into product direction
Lead cross-functional teams to identify and specify solutions to customer problems that are enriching, usable, feasible, and aligned with business objectives.
Translate strategy into detailed requirements — leading Discovery, coordinating with design and engineering, and guiding work through development, QA, and release.
Design and iterate on PLG loops that deliver core product value before the subscription ask — including activation flows, in-product engagement hooks, and conversion triggers that turn users into paying customers organically.
Partner with product marketing to develop go-to-market strategy for new features and content types — defining positioning, launch sequencing, and success metrics, and owning post-launch iteration based on real-world performance.
Proactively identify and size adjacent market opportunities, bringing structured business cases to leadership that inform roadmap and resourcing decisions.
Bring hands-on AI fluency to the role — you have direct experience building and shipping AI-powered product features, and you stay current on how these tools are evolving.
Contribute to the research, development, and launch of AI-powered features, working directly with engineering to evaluate approaches and shape technical direction.
Evaluate third-party tools, APIs, and AI models alongside internal build options — making principled recommendations that balance speed, cost, and long-term product control.
Where applicable, leverage agentic tools to prototype, analyze, or automate parts of your own workflow, reducing dependency on engineering for exploratory work.