• Own the product strategy and roadmap for foundational antibody expression and protein solutions. • Define portfolio structure, service tiers, value propositions, pricing logic, and differentiation strategy. • Drive growth of core antibody expression services through service packaging, workflow bundling, customer segmentation, and regional go-to-market plans. • Translate customer needs, market trends, and competitive dynamics into product requirements and improvement priorities. • Partner with R&D and production teams to improve service quality, turnaround time, scalability, yield, purity, and customer experience. • Monitor trends in bispecific antibodies, antibody fragments, VHHs, Fc-fusion proteins, and other advanced biologics to keep the portfolio competitive. • Work with sales and marketing teams to develop positioning, campaigns, sales training, proposal templates, and competitive battlecards. • Support strategic customer opportunities, especially large or complex antibody expression and protein production projects. • Track business performance across revenue, margin, order volume, win/loss, customer segment, region, and service type. • Lead cross-functional alignment across product, R&D, production, sales, marketing, project management, and technical support.

• Get obsessed with the customer. Talk to SMB owners, watch them work, mine the signal sitting in our millions of existing users — find the problem they actually have, not the one that's convenient for us. • Run on hypotheses, not opinions. Form a sharp bet, design the test, read the result honestly even when it stings, move. • Own the funnel and the money. Activation, conversion, retention, monetization — know the numbers cold and push them yourself. • Turn mess into a thing worth building. Insight is cheap; a sharp, buildable product decision is not. • Build alongside your engineers, not above them. Prototype with AI tools — v0, Cursor, Lovable, whatever's fastest — and fix your own interface instead of filing a ticket for it. • Ship in days, not quarters. Idea to something real in front of a user in about a week. Then do it again. • Bring the energy that makes people want to build with you. This is the job where 'it's just a job' gets you replaced.

• Translate strategy and research into actionable requirements using the jobs-to-be-done framework to prioritize the workflows that matter most for GovCon customers • AI-assisted product development through multi-agent workflows, rapid iteration, and clear quality review with fast decision-making in a fusion delivery model where framing, PRD development, prototyping, and iteration happen at speed alongside development • Develop and drive a forward-looking roadmap for AI-first GovCon ERP capabilities that strengthen Unanet’s long-term moat in GovCon through vertical data, workflow depth, and compliance • Track competitive and market developments in GovCon and feed that insight back into roadmap, positioning, and moat-building decisions • Strong cross-functional communication, collaboration and execution promoting launch readiness and post-launch learning and expansion • Define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences, including human-in-the-loop validation where needed • Own your domain, presenting information and responding to questions from internal and external stakeholders • Help evolve how Product works in an AI-first organization modeling strong use of AI in day-to-day work

• Own the product strategy and roadmap for PMM, ensuring it aligns with Percona's overall product vision. • Work directly with customers and the community to understand their challenges, validate ideas, and identify new product opportunities. • Conduct market research and competitive analysis to help shape product direction. • Translate customer problems into clear product requirements and priorities. • Work closely with Engineering, Design, Documentation, Marketing, and Customer Success to deliver outstanding product experiences. • Prioritize features and make informed trade-offs based on customer value, engineering effort, and strategic goals. • Define success metrics and use customer feedback, product telemetry, and usage data to guide product decisions. • Collaborate closely with engineering throughout the entire product lifecycle, from discovery to release. • Represent PMM internally and externally through blog posts, webinars, conferences, customer meetings, and community engagement. • Help drive the adoption of PMM across the open source community and enterprise organizations.