Tactiq

• You're the technical owner of Tactiq's capture and persistence reliability domain: the extension-to-backend contract, the transcript durability model, observability, rollout safety, and the engineering mechanisms that keep capture reliable as meeting platforms change. • Frame the problem: clarify ambiguous product and system problems with product: the user or system failure, the success metric, and the smallest reversible path to learn. • Design and ship: the extension and capture pipeline across Meet, Zoom, and Teams, and the save path that gets each transcript into storage. Done means rolled out and observable, and either moving the metric or clearly reverted, not just merged. • Build the tooling: turn work you repeat into internal tools and checks the whole team uses. • Run experiments: change one thing, then measure (Datadog for production behavior, Mixpanel for user behavior), and revert or iterate. • Raise the bar: review designs and code, mentor engineers, and reduce single-person dependencies. • Reliability: a dropped capture is a meeting a user never gets back, so you own reliability by design for this domain: SLOs, prevention, and durability.

• Own customer-company communications end-to-end • Own expansion & renewal quota • Increase seat penetration, multi-team adoption, and enterprise footprint • Run executive-level QBR/ABRs tied to ROI and real business outcomes • Design and execute account expansion strategy • Identify white space and multi-thread deeply • Coordinate technical onboarding and integration alignment • Reduce churn risk proactively from day 1 • Turn the customer signal into GTM leverage

• As Principal Product Manager, you'll own the product strategy and execution across one of our initiatives: Growth & Distribution, Core AI Excellence, Team & Collaboration, and Monetization & Packaging. • This is a hands-on builder role. You'll prototype with AI tools, set up experiments, dig into analytics, talk to users weekly, and ship fast. • You won't wait for engineering to build you a dashboard or data science to run your analysis—you'll do it yourself. • This isn't traditional PM work. No lengthy PRDs. No stakeholder management theater. This is: identify the problem, build the hypothesis, test it, learn, iterate. Repeat. • Build with AI: Prototype features using Cursor, Claude, Lovable, or internal tools. Test prompts. Ship MVPs. • Run experiments: Set up A/B tests, define success metrics, analyze results, make the call. • Deep dive analytics: Pull your own data in Mixpanel/SQL. Find the insight no one else sees. • Talk to users: Weekly user interviews. Not quarterly research projects—continuous discovery. • Iterate fast: Ship → measure → learn → ship again. Weeks, not months.