Senior Technical Product Manager

About Single Grain Single Grain is an award-winning digital marketing agency that has been dedicated to drive persistent growth for remarkable companies like Amazon, Uber and Salesforce since 2009. We do this by providing industry leading services around Paid Media, SEO, Content Marketing, CRO, and Web3 Services, such as Crypto Marketing and NFT Promotional Services. We are a team of digital marketers. We love what we do and we help pioneers grow by empowering our clients with winning strategies that lead to faster growth. As a top digital marketing agency, we pride ourselves on staying on the cutting edge of marketing technology and algorithms because that's what keeps us one step ahead of the competition. As a testament to our digital marketing expertise, we have a Digital Marketing blog with over 350,000 visitors/month, a podcast called ‘Marketing School’ with over 1.6 million downloads/month, and a YouTube channel with more than 65,000 subscribers. It's our mission to level up every human by educating and moving the digital industry forward. Our goal is to help you level up and succeed. We accomplish this through mentoring or training, but also by providing great resources and tools. Visit our Careers page now to see a video that describes the company culture and values.

Single Grain

We’re the marketing partner that winners will never outgrow. We're hiring!

SEOPPCSocial MediaContent MarketingCROGoogle adsFacebook adsPaid social mediaPaid searchDigital marketing

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S

singlegrain.com

51-200 employees

Technology, Information and Internet

Remote

2009

Privately Held

21k LinkedIn followers

• Own what gets built and why across Single Brain and API Gateway — turn build →
• build → build into build → measure → iterate.
• Identify the highest-leverage product metrics across Single Brain and API
• Gateway (activation, usage, retention, expansion, revenue, time-to-value,
• Gateway/integration adoption).
• Diagnose what is limiting those metrics.
• Decide what engineering should build next, with clear hypotheses and success
• criteria.
• Run strong weekly sprint kickoffs so the team leaves knowing: what metric are
• we moving, what are we doing to move it, and how will we know it worked.
• Own customer discovery — talk to customers often; separate loud requests from
• high-leverage opportunities.
• Own product analytics and instrumentation quality; no major initiative ships
• without a measurement plan.
• Review launches against real results and choose iterate, expand, revert, or
• move on.
• Keep the integration / Gateway roadmap intentionally prioritized.
• Protect the team from low-impact or poorly defined work.
• By day 30: deep product understanding; customer discovery underway; core
• journeys/funnels mapped; analytics audited; clear view of which metrics
• matter and where the biggest opportunities are.
• By day 60: you own weekly sprint kickoffs; major initiatives have metrics and
• measurement plans; core funnels instrumented and visible.
• By day 90: prioritized roadmap tied to measurable outcomes; multiple complete
• build → measure → iterate cycles; measurable improvement in at least one
• meaningful product metric. Failure = features still shipping without
• hypotheses, instrumentation, or post-launch learning.
• By 6–12 months: durable product OS (Metric → Diagnosis → Hypothesis → Build →
• Measure → Learn → Iterate); customer discovery and post-launch measurement
• are standard; CTO is no longer the primary person deciding what engineering
• builds next; key product/business metrics improved materially.
• Experience owning a technical software product (APIs, integrations, auth,
• data fluency).
• Metrics you personally owned and improved — with diagnosis, not feature
• lists.
• Sprint leadership / prioritization with engineering teams.
• Product analytics and instrumentation ownership (PostHog, Amplitude,
• Mixpanel, or similar).
• Advanced daily AI workflows for product work.
• High-agency ownership: you set roadmap direction; you are not a conduit or
• Jira admin.
• Ideal: early-stage / growth-stage; developer tools, API, infrastructure, or
• AI products.
• Not a project manager, not a backlog clerk, not “collect feature requests,” not
• “feature shipped = success,” not waiting for the CTO to dictate the roadmap.
• Application and evidence review → our standard six-question AI prescreen for
• selected candidates → live discussion / working session (metric → diagnose →
• propose build → mock sprint kickoff → measurement) → paid exercise if
• substantial work is required → references.

• Medical, dental, and vision; life insurance; 401(k) with 4% match; unlimited
• PTO; monthly UberEats; MacBook; home-office stipend/setup. Subject to plan terms
• and eligibility.