2. Drive the case study and proof engine

• Build a repeatable case study pipeline. Identify the 10 to 15 highest-signal customer stories. Develop a standard framework for capturing them: problem, workflow change, quantified outcome. Drive the process end to end, including customer recruitment, interviews, drafting, and approval. Develop polished briefs to the content team for production.
• Create segment-specific proof assets. Not just generic testimonials. Build proof kits for each ICP segment: startup CTO, legal ops director, enterprise IT buyer, individual knowledge worker advocating internally. Each kit should include a case study, a quote card, a data point, and a competitive positioning hook.

3. Own B2B content strategy and thought leadership

• Develop the editorial calendar for B2B. Identify content gaps in the current online presence. Map content to the buyer journey: awareness (thought leadership on voice-first productivity), consideration (comparison guides, ROI frameworks), decision (case studies, security and compliance docs, implementation guides).
• Build for AI-native search and B2B content discovery. Traditional SEO is necessary but insufficient. This person should understand how AI Overviews, ChatGPT recommendations, and LLM citations work, and be building content that ranks in both traditional and AI-mediated discovery channels.
• Create sales enablement content. Battle cards, competitive one-pagers, objection handling guides, and executive pitch decks that the sales team actually uses. This is not about volume. It's about precision and usefulness.

5. B2B paid and ABM support

• Support the B2B ads playbook. Own the creative direction, audience strategy, and continued improving performance of LinkedIn ads and other B2B paid channels. Provide the copy, messaging, and targeting input that the paid team executes against.
• Build the marketing motion on top of PLG signals. Use product usage data to identify high-value accounts in conjunction with the AE team, then layer targeted marketing on top: custom landing pages, executive gifting, event invitations. The goal is to marry bottom-up adoption with top-down engagement.
• Prove ROI. Set up proper multi-touch attribution for B2B marketing spend. Be able to show pipeline influence and contribution to closed revenue, not just lead volume.

6. Leverage the PQA engine (owned by AE team)

• Leverage the Product Qualified Account model. Work with the AE team, using product and data to identify usage signals (number of active users per company domain, dictation volume, feature adoption, team invites) that predict enterprise buying readiness. Leverage the scoring system the AE team owns to prioritize focus.
• Automate insight extraction from Gong, support, and product data. Don't just listen to calls manually. Build or commission systems that surface patterns: what objections come up, what use cases close fastest, what language customers use to describe the value they get. Use these insights to inform every downstream asset.
• Create the feedback loop between product usage and marketing. This person should be instrumenting the journey from free user to team adoption to enterprise deal, and feeding learnings back to product and sales weekly.

The ideal candidate would bring:

• PLG-to-enterprise bridge building. Has personally built or significantly contributed to a B2B marketing function at a product-led growth company that was transitioning from self-serve to sales-assisted or enterprise. Understands the mechanics of land-and-expand, PQAs, and how to layer sales and marketing motions on top of bottom-up adoption.
• Customer insight to strategy translation. Can go from raw qualitative data (Gong calls, customer interviews, support tickets) and quantitative data (product usage, conversion funnels) to a clear marketing strategy with prioritized bets. Someone who figures out what to build by talking to customers and reading the data.
• Full-stack B2B content and conversion. Can write high-quality B2B copy (landing pages, case studies, ads, email sequences) and also build the conversion infrastructure around it (page architecture, CTAs, A/B testing, lead capture, nurture flows). Can both write and operate, comfortable in Figma or Canva making things!
• Data fluency. Comfortable with BI tools (we use Hex). Can build dashboards, pull their own data, and make decisions based on metrics rather than intuition alone.
• AI-native operations. Uses AI tools daily in their own workflow, not as a novelty but as infrastructure. Can build automated pipelines for content production, competitive monitoring, customer insight extraction, and reporting. Understands how to prompt, orchestrate, and quality-control AI outputs at scale.
• Speed and independence. Can operate with minimal direction in a fast-moving startup. Comfortable making decisions with incomplete information, shipping imperfect first versions, and iterating based on results. Does not wait for permission or consensus. Brings recommendations, not questions.

LOGISTICS

Location. About 60% of the team is in San Francisco and the rest are remote, mostly US-based.

• If you're in SF: you'll be in the office most days. We think the best work happens in person. Most of the team is here five days a week, and a few do three or four days depending on family or long commutes.
• If you're remote: we're open to remote for some roles. We fly remote teammates to SF for three to four days a month.

Visa sponsorship. We sponsor visas: H1B, O1, EB1, L1, STEM + OPT, and more. We can't successfully sponsor for every role and every candidate, but if we make you an offer we'll make every reasonable effort, and we retain an immigration law firm to help.

WHAT WE OFFER

• Equity on employee-friendly terms, including extended exercise windows and a combination of ISOs and RSUs.
• Health, dental and vision. We cover 100% of the premium on the Anthem Blue Cross Gold PPO, and 75% of premiums for dependents. (US only)
• 401(k) with up to a 4% match. (US only)
• Flexible time off and company holidays.
• All meals in the office, plus commuter benefits and relocation reimbursement if you’re moving to San Francisco.
• A high-spec laptop, monitor, and a whisper-friendly microphone.
• Regular team events and off-sites.
• 16 weeks of paid parental leave (12 weeks for non-birthing parent).