Hedge Specialty Logo

Hedge Specialty

Founding Growth Operations

Posted 3 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
110K-250K Annually
Entry level
In-Office
San Francisco, CA, USA
110K-250K Annually
Entry level
Build Hedge’s growth operating system by developing funnel data models, dashboards, attribution, lifecycle programs, acquisition and activation experiments, lead-routing processes, and scalable playbooks. The role partners with sales, product, markets, and founders to improve conversion and establish a predictable, measurable growth engine.
The summary above was generated by AI
THE OPPORTUNITY

Hedge is hiring a founding growth operator to build the systems that turn market opportunity into repeatable revenue. This is a hands-on role for someone who can move from analysis to campaign to operating process without waiting for a large team.

 
COMPENSATION AND UPSIDE

Base salary is $110K-$150K. Target OTE is $180K-$250K, with performance compensation tied to measurable growth outcomes. Equity is 0.25%-1.50%.

 
WHAT YOU WILL OWN
  • Build the growth data model, dashboards, attribution, and operating cadence

  • Design and run acquisition, activation, and expansion experiments

  • Create lifecycle programs for agencies, prospects, and dormant opportunities

  • Improve lead routing, enrichment, segmentation, and conversion across the funnel

  • Partner with sales, product, and markets to turn insight into execution

  • Document the playbooks that let a small team scale

 
WHAT SUCCESS LOOKS LIKE
  • First 30 days: establish a trusted funnel baseline and identify the highest-leverage gaps

  • By day 60: launch measurable experiments and a weekly growth review

  • By day 90: show improved conversion in at least one material part of the funnel

  • In 12 months: operate a predictable, instrumented growth engine with clear economics

 
WHO THRIVES HERE

You combine analytical depth with a bias to ship. You are comfortable in spreadsheets, systems, and customer conversations, and you can distinguish a useful signal from a vanity metric. Early-stage experience is strongly preferred.

 
WHY HEDGE

Hedge is building the operating system for commercial insurance distribution. You will work directly with the founders, own a consequential part of the company, and help define how the function works as we scale. We offer health benefits and meaningful equity.

 
WORK MODEL

This role is based in San Francisco and works in person with the team six days a week.

 
INTERVIEW PROCESS
  1. Application review

  2. A focused introductory conversation

  3. A role-specific deep dive

  4. A practical working session based on a realistic Hedge scenario

  5. Final conversation with the founders

Hedge is an equal opportunity employer. We evaluate candidates based on ability, judgment, and potential, and we do not discriminate based on protected characteristics.

Similar Jobs

32 Minutes Ago
Remote or Hybrid
7 Locations
164K-297K Annually
Senior level
164K-297K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Own the full outbound sales cycle for mid-market merchants, from prospecting and pipeline development through discovery, product demonstrations, negotiation, and close. Build net-new business through strategic outreach, sell multi-product solutions, manage complex multi-stakeholder deals, forecast accurately in Salesforce, and consistently exceed revenue targets. Collaborate with business development, product, marketing, implementation, and operations teams while serving as a consultative advisor to merchants.
Top Skills: Salesforce
33 Minutes Ago
Remote or Hybrid
7 Locations
95K-168K Annually
Entry level
95K-168K Annually
Entry level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Develop data science solutions for payments across Square and Cash App. Build AI-powered tools, ETL pipelines, dashboards, machine learning models, experiments, and cloud data systems. Partner with Product, Engineering, Finance, and Operations to improve payment success, cost efficiency, risk mitigation, and decision-making. Translate business needs into practical solutions, research questions independently, and operationalize data processes and infrastructure.
Top Skills: AICloud InfrastructureETLMachine LearningPythonSQL
46 Minutes Ago
Hybrid
Mountain View, CA, USA
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own Professional Services delivery operations across PSA administration, staffing, capacity planning, partner subcontracting, intake, reporting, and workflow improvement. Administer Rocketlane, manage delivery resource allocation, coordinate partner engagements, build dashboards and exception reports, and establish scalable operating rhythms. Collaborate cross-functionally with Professional Services, Customer Success, Finance, Sales, and Partner teams to improve delivery visibility, utilization, forecast accuracy, partner performance, and operational consistency.
Top Skills: AICertiniaCrm SystemsFinancialforceKantataPsa SystemsRocketlane PsaSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account