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.
The digital and campaign marketing manager is responsible for developing and executing digital marketing strategies to drive brand awareness, customer engagement, and lead generation. This includes managing the company's email marketing campaigns, social media presence, and digital advertising. This role will work closely with the broader marketing team to align digital initiatives with the overall marketing plan and business objectives.
Responsibilities
- Develop and implement the digital marketing strategy, including email marketing, social media, SEO, PPC, and website optimization
- Manage the editorial calendar and content creation for all digital marketing channels
- Oversee and execute email marketing campaigns, including list segmentation, A/B testing, automation, and performance analysis
- Monitor and report on the performance of all digital marketing activities, providing insights and recommendations for improvement
- Manage the digital marketing budget and optimize digital marketing KPIs like CPL, CPC and ROAS
- Stay up-to-date on the latest digital marketing trends, tools, and best practices, and make recommendations for new initiatives
- Collaborate cross-functionally with the marketing, sales, and product teams to align digital efforts and achieve business goals
- Manage and optimize the company's website, including content updates, design enhancements, and technical improvements
- Oversee the work of any digital marketing vendors or agencies
Qualifications
- 5+ years of experience in digital, campaign and email marketing, with a proven track record of driving results
- Proficient in email marketing platforms, social media management tools, Google Analytics, and other digital marketing software
- Strong understanding of SEO, SEM, content marketing, and marketing automation
- An excellent storyteller with a strong ability to articulate value through email copy and ad copy
- Excellent analytical and data-driven decision-making skills
- Effective project management and team leadership abilities
- Familiar with web design, HTML, and CSS
- Bachelor's degree in marketing, communications, or a related field
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.
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.