Gurucul is a champion for the security analyst. We build AI-powered security operations that augment the people in the SOC — with AI embedded across the full data, detection, investigation, and response lifecycle. We’re a 2025 Gartner Magic Quadrant Leader for SIEM, and we’re taking the fight to entrenched, ingestion-priced incumbents on cost, openness, and behavioral detection.
We’re looking for a Senior Product Marketing Manager to own how the market understands, evaluates, and chooses our SecOps platform — Next-Gen SIEM, the AI SOC Analyst, and Data Pipeline Management.
This is a high-ownership seat. You’ll set the positioning, run the launches, arm the field, and build the narrative that lands with SOC directors, detection engineers, security architects, and the CISOs and CFOs who sign off. You’ll influence where the product goes — partnering with Product Management on roadmap and positioning, and carrying a credible, evidence-backed point of view to leadership on the category and the competition. You won’t inherit a playbook — you’ll write it, defend it with evidence, and sharpen it against competitors as the market moves.
If you do your best work when you’re trusted to go deep on a demanding technical category, hold a defensible point of view, and move fast without dropping the quality bar, this role is built for you. We’re on a mission to help solve some of the largest challenges facing security teams and are looking for the right person to join us.
- Positioning and messaging for the SecOps portfolio. Make the innovative value of our stack real — behavioral AI fused with static rules on a graph, AI at every stage of the lifecycle, and significant cost controls through native data pipeline management with data optimizer. Build customer-centered frameworks that resonate with high-value claims, proof, and differentiation and be deployed throughout the company.
- Go-to-market and launches, end to end.Own launch architecture — tiering, channel and MSSP mix, sales-readiness gates, analyst sync — for releases like the AI SOC Analyst and Data Pipeline Management, and the measurable outcomes that follow.
- Narrative, storytelling, and the flagship decks.Build the story — and the keynote, pitch, and analyst decks that carry it. Understand how to create authentic stories that engage, are memorable, and that work in an elevator pitch, a booth session, or deep dive. Bring marketing, product, sales and leadership along.
- Product partnership and cross-functional influence.Work hand in hand with Product Management as a complementary partner — feeding market and win/loss insight into the roadmap, pressure-testing positioning against what’s actually shippable, and turning it into messaging the field can use. Bring an evidence-backed point of view to leadership on where the category and the competition are heading.
- Content and demand support. Own the content that carries the story to market — blogs, thought leadership and bylines, webinars, practitioner-grade content, web, demos, customer proof and case studies, and the sales content the field actually uses. Craft high-value pieces that help customers identify and solve challenges, not superficial click content. Write for both readers: the SOC analyst who judges you on technical credibility (MTTD, MTTR, false positives, ingestion cost) and the CISO who judges you on outcomes and TCO. Partner with demand generation to build out and support the content strategy to ensure we’re driving real pipeline and not simply impressions.
- Sales enablement and pre-sales partnership.Build the battlecards, migration and TCO tools, competitive plays, and objection-handling that sellers and SEs still use months later. Sit close to the field, watch live usage, and iterate on what you learn.
- Competitive intelligence.Map the SIEM and SOC landscape with a real point of view on where each incumbent wins deals versus wins on paper — ingestion cost, lock-in, behavioral depth, migration speed — and turn it into assets that hold up under live deal pressure.
- Subject-matter depth.Get credible fast on SIEM, the TDIR lifecycle, UEBA, detection engineering, and data-pipeline economics — and stay current. You’ll explain the autonomous SOC to a CFO in TCO terms and to a SOC analyst in workflow terms, and adapt the depth to each.
- 4+ years in B2B product marketing, 2 years in security; ideally in security analytics, SIEM, XDR, SOAR, or SOC tooling. Detection and response, UEBA, or data-pipeline experience is a strong plus.
- Demonstrated ownership of complex, multi-stakeholder launches with outcomes you can name and defend — not launches you supported, launches you ran.
- A method for building technical and market credibility quickly — customer ride-alongs, analyst reports, SE shadowing, deep product work, detection-engineering fluency — and the ability to hold your own in front of more technical buyers.
- Strong product partnership instincts. You work with strong PMs as complementary partners — neither deferring entirely nor trying to push over PM.
- A real grasp of the SecOps buying group — the SOC director or manager and detection engineer who champion, the CISO who approves, and the CFO or FinOps owner who scrutinizes ingestion cost. Specificity, not “the enterprise.”
- Messaging craft that makes a technical, buzzword-prone category concrete. Security buyers are immune to FUD and filler — and so are we. You replace the buzzword with the specific thing it stands for.
- Customer-centric by default. You start outside-in — the buyer’s job, their pain, and the proof they’ll actually accept — not the feature list. You get out of the building (customer calls, win/loss interviews, SE ride-alongs) and carry that voice back into product and messaging.
- Bias for action. When the field needs a critical competitive response or a deal-specific asset, you ship fast and good — fast-and-sloppy doesn’t help anyone. You also know when something isn’t a priority and should be tabled for later. You drive for outcomes.
- Comfort with ambiguity. You can decide whether to ship, delay, or rescope against explicit trade-off criteria, and make the call rather than wait to be told.
- Grounded in data and results. You position on evidence, not opinion — win/loss verbatim, customer outcomes, analyst data, real usage. You set success metrics up front, own them honestly, separate what was yours from what wasn’t, and change your mind when the evidence does.
- $150,000 – $200,000
- Gurucul offers a competitive compensation package, including medical, dental, vision, and life insurance, EAP, 401K, Paid Time Off, and paid Holidays
- At our HQ in El Segundo, CA or remote within the United States
Gurucul Solutions, LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Please send resumes to [email protected] for consideration.
