Product Manager, Tecton
Collaboration, Observability, and Enterprise Readiness
The feature platform for machine learning
Job no longer available
The feature platform for machine learning
101-200 employees
Job no longer available
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- 5+ years experience as a Product Manager in enterprise SaaS
- 2+ years experience building enterprise features (collaboration, security governance, compliance, lifecycle management, or system-of-record etc.)
Desirable
- 2+ years experience building developer products in general or ML infrastructure in particular, within a company or as SaaS software
What the job involves
- Own strategy and roadmap of Tecton’s operating environment
- Deliver quality features on time
- Gather user feedback and usage data
- Build relationships with enterprise customers and help them be successful on Tecton
- Help product marketing do sales enablement for enterprise features
- Create customer facing training materials for enterprise features
- Advocate Tecton through your writing and speaking
Our take
Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.
As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.
Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2022
$100m
SERIES C
Dec 2020
$35m
SERIES B
Total funding: $160m
Company benefits
- Comprehensive health plans = Our health plan options give you the flexibility to select the right coverage for you and your family. We cover 100% for employees and 80% for dependents
- Remote-friendly work environment - We are remote-friendly and make it easy for our people to be in the office if they want to be
- Parental leave - We offer 8-16 weeks of paid leave to spend quality time with family
- Competitive salary, equity and 401(k) savings plans - We offer meaningful compensation and equity packages that reflect our commitment to hire the best talent
- Wellbeing benefits - We provide a range of benefits that holistically support your physical, mental, and financial wellbeing
- Flexible time off - There is life outside of work. Our flexible policy means every employee is encouraged to take the time they need to rest and rejuvenate
Company HQ
Mid-Market, San Francisco, CA
Leadership
Mike Del Balso
(CEO)Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.
Kevin Stumpf
(CTO)MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.
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