Product Manager, Tecton
Developer Workflows
$162-222k
+ Equity
2-3 days a week in office
The feature platform for machine learning
Be an early applicant
The feature platform for machine learning
101-200 employees
Be an early applicant
$162-222k
+ Equity
2-3 days a week in office
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- 3-5 years in Product Management on highly-technical products
- Demonstrable experience writing PRDs and requirements for technical products and working cross-functionally with both GTM and Engineering teams
- 2+ years in Product Management at early-stage (50-150 employee) startups
- Demonstrated competency participating in webinars, briefings, customer presentations and demos
- Excellent skills in user research, outbound discovery, and connection-building. Experience prospecting on LinkedIn, etc for research partners who are not customers
- Operator-level experience with SQL, Python, Notebook environments, and Git. Can demonstrate working knowledge of these skills
- Familiarity with streaming and batch data engineering patterns and technologies
What the job involves
- Drive excellence and product fit for Tecton’s primary user personas, the ML Engineer and the Data Scientist
- Perform research with Tecton users and the broader market to understand and support these personas
- Through both dedicated engineering resources and cross-team collaboration, build and refine the product workflows for exploring, developing, testing, and productionizing features across Tecton’s framework, CLI, SDK, API surface and GUI
- Champion the Data Scientist and MLE personas at Tecton
- Work with Product Marketing and DevRel to describe, promote, and evangelize Tecton as an ideal solution for feature engineering
- Drive product-market fit with ML Engineers and Data Scientists
- Ensure Tecton is the best available tool for developing and productionizing features for predictive machine learning
- Partner extensively with Tecton internal experts and other PMs to ensure our capabilities are accessible and effective for users
- Represent the user perspective
- Maintains extensive direct customer and user contact through regular calls, implementation reviews, and support escalations
- Develops customer intuition through first-hand data collection and direct observation, not filtered reports
- Regularly reviews customer call recordings and documentation to spot patterns and opportunities
- Cites specific customer examples when writing requirements
- Shape product strategy and direction
- Strong business acumen that extends beyond functional expertise
- Contributes meaningfully to company-wide strategy and decision-making
- Understands market dynamics and helps guide prioritization and requirements development
- Operates as an SME for Data Scientist and ML Engineer personas and workloads
- Support Go-to-Market
- Brings expertise in target personas and workloads when supporting the development of marketing communications
- Participates in demos, webinars, and content creation, adding deep insights and mature skills, representing the user and their workflows
- Partner with PMM and Sales on new business activities and OKRs
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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