The Marketing Pipeline Manager will strategize and execute demand generation programs, optimize pipeline performance, and coordinate efforts across Marketing, Sales, and SDR teams to drive revenue growth.
The Company
The Team
The Work
What you’ll be doing
What You Bring
Preferred Skills (Optional)
Compensation
Benefits
Bigeye is on a mission to help enterprises trust their data. When used effectively, data can create magical experiences in services and products we all use every day. But those experiences suffer whenever data is delayed, missing, or low quality. Nearly every major enterprise still struggles to keep their data pipelines reliable and to maintain data quality, and can no longer afford to sift through a mess of manually created data quality rules.
Some of the world’s largest enterprises—like Burberry, Hertz, Cisco and RNLI—have realised they need a more scalable approach, and now use Bigeye’s industry-leading data observability platform to keep their mission critical data applications running smoothly. Our unmatched support for enterprise-oriented data sources, and industry-leading data lineage capabilities, give us a unique foundation from which to serve enterprise data teams.
The scale of this challenge is incredibly exciting: we already check over 3 million data quality attributes and 3 Trillion lineage assets every day for our customers, but estimate that only 2% of the addressable market has made the switch to using data observability.
Come join us in the journey to serve the other 98%.
We are looking for a senior marketing leader to own Bigeye's pipeline-driven growth engine, focused on generating high-quality demand, improving conversion, and building scalable programs that support revenue growth.
Marketing at Bigeye is a lean, high-impact team where each function has clear ownership:
• Product Marketing owns product positioning, pricing, packaging, and market-driven product direction
• Pipeline/Growth owns pipeline strategy, channel performance, and account-based orchestration
• Sales improves funnel quality, qualification, and buyer intelligence
• Content and Communications build category narrative, market awareness, and executive visibility
This role sits at the center of the marketing engine, partnering closely with Product Marketing, Sales, and external agencies to drive measurable pipeline performance.
As Marketing Pipeline Manager, you will own the strategy, execution, and optimization of Bigeye's demand generation programs. You will design and operate a repeatable pipeline engine across channels, make data-driven investment decisions, and ensure that marketing programs translate into high-quality opportunities for Sales.
This is a senior, high-ownership role for someone who can think strategically, operate hands-on, and use data to make clear decisions about where to invest, what to scale, and what to stop doing.
Own pipeline strategy, performance, and outcomes
• Define the overall pipeline generation strategy across marketing channels
• Be accountable for pipeline volume, quality, efficiency, and conversion
• Continuously optimize programs for ROI, conversion, and scale
• Partner with Sales and SDR leadership to ensure marketing-generated demand converts into qualified opportunities
Own channel strategy and investment decisions
• Own channel mix and investment decisions across events, paid media, campaigns, and account-based programs
• Evaluate channel performance and reallocate investment based on data
• Scale what works and cut what does not
• Partner with agencies and internal stakeholders to ensure every channel is accountable to business outcomes
Lead account-based strategy and orchestration
• Define and drive account-based strategy across target segments
• Align Marketing, Sales, and SDR efforts around priority accounts
• Orchestrate coordinated plays across events, paid campaigns, SDR outreach, and content
• Ensure account-based programs are measurable, repeatable, and tied to pipeline outcomes
Build and operate the pipeline generation system
• Design integrated programs that connect campaigns, events, content, and SDR follow-up
• Ensure tight coordination between campaign execution and sales development motions
• Move beyond isolated campaigns to a cohesive, repeatable pipeline engine
• Partner with Marketing Operations to ensure systems, workflows, and reporting support the funnel
Drive funnel performance and conversion optimization
• Identify and resolve bottlenecks across the marketing funnel
• Improve lead-to-opportunity conversion, pipeline quality, and pipeline velocity
• Use performance data to identify where funnel quality or follow-up needs to improve
• Partner closely with the SDR function to improve front-end conversion and insight capture
Own external partner performance
• Manage key agency partners, including paid media, SEO/AEO, and event logistics
• Hold partners accountable to performance, quality, and ROI outcomes
• Ensure external partners operate as an extension of the marketing team
Drive performance insight and decision-making
• Analyze pipeline and channel performance to identify what is working, what is not, and where to invest next
• Use data to drive clear, decisive actions and communicate recommendations to leadership
• Partner with Marketing Operations to ensure clean data, accurate reporting, and reliable funnel visibility
• 8-10 years in demand generation, growth, pipeline marketing, or related B2B marketing roles with 4-5 years in leadership roles
• Proven track record owning and delivering pipeline or revenue-oriented marketing goals
• Experience making channel, budget, and investment decisions based on performance data
• Deep experience with HubSpot, including campaign setup, lifecycle stage management, reporting, and funnel analysis
• Strong analytical and data-driven mindset with the ability to translate insights into action
• Experience with account-based marketing in enterprise sales environments
• Ability to operate both strategically and hands-on in a lean, high-accountability environment
• Experience managing agencies and cross-functional stakeholders
• Strong collaboration skills across Marketing, Sales, SDR, and Operations teams
Hand on AI tooling and work flow experience
• Experience in data, analytics, infrastructure, or developer-focused products
• Proven experience developing and scaling event-driven pipeline strategies
• Experience with SEO, AEO, paid media, and integrated campaign strategy
• Familiarity with ABM platforms and modern GTM tooling
• Experience working in high-growth or scaling environments
• Strong experimentation and testing mindset
- Base salary range $165,000-175,000 (+equity), depending on location
- Curious how we came up with this range? Ask us about our process!
• Generous salary and equity opportunity
• Remote first - Live where you want in the US
• Flexible PTO to have fun and recharge
• Medical, Dental, Vision and Life Insurance to keep you healthy
• Dedicated Parental Leave to take care of new additions in your household
• 401k plan to help you save for the future
• Learning and Development stipend to help you grow in your career
• Receive an elite technology package to make work easier
Bigeye is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort. We do celebrate diversity and believe experience comes in different forms; many techniques are transferable; and passion goes a long way. Diversity in our team makes for more creative thinking, and ultimately a better product and company culture.
Even more important than your resume is a clear demonstration of impact, initiative, and the aptitude to thrive in a collaborative environment. Bigeye aspires to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Bigeye and we encourage you to apply if your experience is close to what we’re looking for.
Bigeye (bigeye.com) San Francisco, California, USA Office
San Francisco, CA, United States, 94014
Similar Jobs
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead and manage an engineering team to deliver AI-based services, providing technical guidance, coaching, and ensuring quality and delivery goals.
Top Skills:
Ai EngineeringCloud Native ArchitectureConfluenceDevOpsJIRAScrum
Big Data • Information Technology • Software • Analytics • Energy
The Associate Consultant will drive customer success, manage mineral portfolios, improve business processes, and provide product training, acting with general direction.
Top Skills:
Business ProcessesData AnalysisDrillinginfoEnergylinkMineralsoftMiqPrism
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Senior Account Executive manages B2B sales and client relationships in Group Benefits, focusing on strategic account growth and retention for major clients.
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
