SEO/GEO Lead, Harvey
$196-294k
Domain-specific AI for legal and professional services
Be an early applicant
Domain-specific AI for legal and professional services
501-1000 employees
Be an early applicant
$196-294k
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- 8+ years of hands-on SEO experience, with demonstrable and measurable results
- Recent, dedicated focus on AEO / GEO: you have built a program or owned a meaningful AEO workstream
- B2B SaaS background required: you understand enterprise buyer journeys, long sales cycles, and how to map content to pipeline, not just traffic
- Deep technical SEO fluency
- Proficiency with core SEO/GEO tools
- Familiarity with experimentation platforms (Statsig, Optimizely, or similar) and a working understanding of A/B test design and statistical significance
- Experience with international SEO and hreflang implementation (Harvey operates globally)
- Data-driven mindset with the ability to turn analytics into prioritized action
- Strong cross-functional communication
- High agency and growth mindset
What the job involves
- We're hiring our first dedicated SEO / GEO Lead. You will own Harvey's visibility across both traditional search (Google, Bing) and the fast-growing AI answer layer: ChatGPT, Perplexity, Google AI Overviews, AI Mode, Claude, and emerging agentic interfaces
- This is a high-ownership individual-contributor role with a clear path to building a team. You'll define the roadmap, set the standards, and execute - partnering closely with content, product marketing, web, engineering, and data to make Harvey the authoritative answer wherever our buyers are looking
- The person who succeeds here is not an SEO purist and not an GEO theorist - they're someone who understands that both disciplines are now inseparable, and who can build the infrastructure and content strategy that wins in both worlds
- Define and execute the SEO strategy and roadmap across harvey.ai and all Harvey web properties, balancing quick wins with compounding investments
- Build and maintain an SEO playbook: processes, templates, and guardrails, that scales content production without sacrificing quality or search integrity
- Own the content calendar for SEO-driven pieces in partnership with content, PMM, engineers, spanning buyer journey stages from awareness to purchase
- Develop and own Harvey's AEO / GEO strategy: ensure Harvey is consistently cited, referenced, and surfaced when our buyers query AI answer engines
- Implement entity consistency across all Harvey web properties and optimize content for extractability
- Partner with thought leadership to grow Harvey's LLM citation footprint with earned mentions
- Build a monitoring infrastructure to track Harvey's presence and accuracy in AI-generated answers across major platforms
- Partner with engineering on web infrastructure decisions that affect crawlability and indexing
- Establish SEO observability: automated alerting for ranking drops, crawl anomalies, indexing failures, and Core Web Vitals regressions
- Build and own analytics that track organic performance: from keyword rankings and impressions to pipeline attribution
- Design and run controlled SEO and CRO experiments with statistical rigor; translate results into recommendations and report findings to leadership
- Develop a measurement framework for AEO
- Connect organic performance to revenue outcomes: pipeline, demo requests, trial signups, and attributed ARR
- Collaborate with engineering on infrastructure and platform decisions that affect search performance
- Partner with content, PMM, and design to embed SEO and AEO best practices into the content creation workflow from the start
- Present SEO/AEO strategy, roadmap, and performance to marketing leadership and company stakeholders
- Proactively identify and scope opportunities to grow the function
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 10 rounds)
Mar 2026
$200m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.2bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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