At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation.
Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.
Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
We are seeking an experienced Field Marketing Manager to strategically plan, execute, and optimize field marketing programs that drive quality lead generation and pipeline acceleration. This key revenue-focused role will lead high-impact in-person and virtual events that generate measurable business outcomes. This role bridges the gap between marketing and sales, creating targeted campaigns and events that generate qualified leads and support revenue objectives.
Responsibilities
- Strategic planning and execution of field marketing programs, including in-person tradeshows, roadshows, partner events, deal acceleration events, community meetups, and virtual events
- Partner closely with sales team to develop and execute field marketing strategies that directly support pipeline and revenue goals
- Financial oversight of regional marketing budgets, including spend decisions for venues, event production, travel expenses, and staffing resources
- Build and maintain strategic relationships with industry communities, partners, and vendors to expand market presence
- End-to-end event management including pre-event planning, day-of coordination, and post-event follow-up with emphasis on sales enablement
- Leadership of cross-functional teams across marketing, sales, and vendors using project management best practices in Asana
- Promotional planning in partnership, with ownership of named channels and collaboration with digital marketing and sales
- Achievement of quarterly pipeline and revenue targets through targeted field marketing activities
- Quality assurance of all field marketing activities and measurement of impact on sales pipeline
Qualifications
- Bachelor's degree in Marketing, Business, or related field
- 5+ years of experience in field marketing or related marketing role
- Proven track record of developing and executing successful marketing campaigns
- Outstanding project management, organizational and communication abilities
- Experience with marketing automation tools and CRM systems
- Demonstrated ability to work cross-functionally and manage multiple stakeholders
- Budget management experience
- Willingness to travel
Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics. If you would like to request any accommodations from the application through to the interview, please contact us at [email protected].
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Top Skills
What We Do
Founded by the team that created the Uber Michelangelo platform, Tecton provides an enterprise-ready feature store to make world-class machine learning accessible to every company.
Machine learning creates new opportunities to generate more value than ever before from data. Companies can now build ML-driven applications to automate decisions at machine speed, deliver magical customer experiences, and re-invent business processes.
But ML models will only ever be as good as the data that is fed to them. Today, it’s incredibly hard to build and manage ML data. Most companies don’t have access to the advanced ML data infrastructure that is used by the internet giants. So ML teams spend the majority of their time building custom features and bespoke data pipelines, and most models never make it to production.
We believe that companies need a new kind of data platform built for the unique requirements of ML. Our goal is to enable ML teams to build great features, serve them to production quickly and reliably, and do it at scale. By getting the data layer for ML right, companies can get better models to production faster to drive real business outcomes.