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SEO & CRO Manager

Job in New York, New York County, New York, 10261, USA
Listing for: space150
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    SEO, Digital Marketing, Data Analyst, Web Developer
Salary/Wage Range or Industry Benchmark: 110000 - 135000 USD Yearly USD 110000.00 135000.00 YEAR
Job Description & How to Apply Below
Location: New York

Position Overview
space
150 exists to put brands on the forefront of culture and technology, to help them keep up, get ahead and stand out. We destroy convention to create demand. space
150 is looking for a person to help us maintain and grow our position as a future-forward digital agency by leading the evolution of marketing website visibility for humans, search engines, and LLMs. You'll be the agency's senior authority on organic search across a client roster that spans regulated med-tech, DTC ecommerce, and national consumer brands. You'll set strategy, own technical SEO, collaborate with paid media for a holistic paid organic view, measure the impact of brand shifts on demand and performance, present to clients, and help our new-business team sell search as a capability.

We're also looking for someone whose thinking doesn't stop at the SERP. The best organic programs we've run were the ones where the same person could follow a session from impression through to conversion, spot where the site was leaking qualified traffic, and design a test to fix it. If you've built that muscle across SEO, web analytics, and CRO, this role is designed for you.

And we're looking for someone who has already rewired how they work around AI. Not "familiar with AI tools." We mean you reach for a model the way you reach for a spreadsheet, to crawl and classify at a scale a human can't, to turn a 40,000-URL export into a prioritized Jira backlog in an afternoon, to draft, critique, and pressure-test your own recommendations before a client ever sees them.

Search itself is being rebuilt by these systems; the person leading our organic practice should be fluent in them from the inside, not just reading about what they're doing to the SERP. This is the single biggest force multiplier available to a practitioner in this discipline right now, and we want someone who treats it that way.

You'll join senior, accountable teams with media, analytics, and engineering in-house at space
150 and collaborate directly with clients and other partners.

Primary Functions

Organic search strategy & execution
  • Own organic search strategy end to end for a portfolio of clients: technical audits, information architecture, on-page optimization, internal linking, content roadmaps, and measurement
  • Run technical SEO diagnostics and translate them into prioritized, developer-ready backlogs. Partner with space
    150's engineering and web teams or client-assigned engineering teams to implement fixes.
  • Develop keyword and topic strategy grounded in commercial intent and search demand, not volume for its own sake
  • Build and own a point of view on AI search visibility (AI Overviews, LLM citation, AEO/GEO). Advise clients on what's changing, what's measurable, and what's noise
  • Manage the organic search tool stack and make the case for what we license
Analytics & measurement
  • Own organic performance measurement: GA4, Google Search Console, Looker/Looker Studio, and server-side/GTM tagging where organic conversion tracking is involved
  • Build reporting that connects organic visibility to business outcomes (qualified leads, revenue, LTV), not just rankings and sessions
  • Partner with our analytics team on cross-channel attribution questions, especially where organic and paid search overlap
Conversion Rate Optimization
  • Audit conversion paths on client sites and identify friction between organic landing and conversion
  • Design and run experiments (A/B, multivariate, UX) in partnership with our UX, creative, and development teams
  • Advise on messaging, CTAs, form design, and content placement based on behavioral data
  • Bring a testing discipline to the work: clear hypotheses, honest reads, documented learnings including the losses
Working with AI
  • Use frontier AI platforms as core daily infrastructure. We're deep users of Claude and Claude Code, Gemini, and the OpenAI stack, and we're deliberately platform-agnostic, we care far less about which model you prefer than about what you've gotten it to do
  • Build your own tooling. Crawl parsing, log file analysis, SERP and citation monitoring, structured data validation, GSC and GA4 pulls, competitive tracking, QA sweeps across hundreds of templates, if it's repetitive, we expect you to automate it rather than budget hours for it. Comfort in a terminal, with an API, or with an agentic coding tool matters more here than a CS degree
  • Verify relentlessly. You know where these systems hallucinate, you spot-check numbers, and you never put a figure in front of a client you can't…
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