Senior Revenue Marketing Manager

Sigma is hiring its first Senior Revenue Marketing Manager to design, build, and operationalize lifecycle marketing as a cohesive system, not a set of disconnected tactics. This role provides central ownership and accountability for how prospects and customers are guided from first touch through activation, expansion, and long-term value.

In this role, you’ll architect the strategy and operating model that translates marketing activity into predictable pipeline and ARR—using thoughtful lifecycle design, modern attribution, intelligent automation, and AI-enabled insights. You’ll ensure marketing operates with clarity, speed, and trust across teams, with shared definitions, measurable conversion points, and closed-loop learning.

This is a true builder role. You’ll define the blueprint, prove impact quickly, and scale it into a durable system that becomes a core advantage for Sigma’s go-to-market engine.

Responsibilities

• Lifecycle & Revenue Marketing Strategy: 
• Lead a cross-functional initiative to deliver a single source of truth for funnel metrics and attribution
• Define and document lifecycle stages with measurable conversion rates from anonymous visitor, to closed-won customer, and into a Sigma champion.  
• Identify and drive improvements in speed-to-lead and lifecycle conversion across key stages

• Strategy & Ownership
• Define and own Sigma’s lifecycle marketing strategy end-to-end
• Establish a clear email philosophy, governance model, and sending standards
• Serve as the single point of accountability for lifecycle communications across the business

• Lifecycle & Campaign Architecture
• Design and build lifecycle journeys focusing on conversion through stages 
• Create integrated, multi-touch campaigns aligned with Sales, CS, Product, and Partnerships
• Ensure lifecycle programs reflect how modern B2B buyers research, evaluate, and purchase.

• Systems, Scale & AI
• Partner closely with Marketing Operations to design scalable systems, workflows, and data foundations
• Decide what should be automated, outsourced, or accelerated with AI
  Build repeatable lifecycle frameworks rather than one-off campaigns

• Execution 
• Personally execute early lifecycle programs to drive quick wins and establish best practices
• Support newsletters and key communications across the business at scale
• Build and optimize event follow-up, product messaging, and customer engagement flows

• Deliverability & Trust
• Own domain health, sender reputation, and email deliverability
• Reduce spam complaints, unsubscribe rates, and engagement decay
• Protect and strengthen Sigma’s brand trust across all lifecycle touchpoints
• Partner on AEO, GEO, and website UI improvements to ensure consistent, high-quality buyer experiences

Who You Are

• A lifecycle marketing leader who thinks in systems, not channels
• Comfortable owning both strategy and hands-on execution
• Analytical and outcomes-driven, with a strong understanding of funnel dynamics and buyer behavior
• Trusted cross-functional partner who brings clarity, structure, and momentum
• Energized by building from the ground up and scaling what works

Required Experience & Expertise:

• 8+ years in Lifecycle Marketing, Revenue Marketing, Growth Marketing, or Marketing Operations within B2B SaaS
• Proven success driving improvements in pipeline quality, conversion rates, velocity, and ARR
• Deep experience designing and operating lifecycle programs across email, events, content, product signals, and sales touchpoints
• Modern tech stack fluency with hands-on experience in:

• CRM: Salesforce (or equivalent enterprise CRM)
• Marketing Automation: HubSpot, Marketo, Pardot, or similar
• Data Analytics and BI tools 
• Intent & Enrichment: 6sense, Demandbase, Clearbit, ZoomInfo, or comparable platforms
• Familiarity with AI-enabled marketing workflows, automation, or advanced analytics strongly preferred

The base salary range for this position is $140k - $170k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. 

About us:

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.   

Come join us!

Benefits For Our Full-Time Employees:

• Equity                                                                                                 
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, and London.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). 

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.