Tectons founders developed the firstFeature Storewhen they created Ubers Michelangelo ML platform and were 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 fastgrowing team thats distributed around the world with offices in San Francisco and New York City. Our team has years of experience building and operating businesscritical machine learning systems at leading tech companies like Uber Google Meta Airbnb Lyft and Twitter.
Drive excellence and product fit for Tectons 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 crossteam collaboration build and refine the product workflows for exploring developing testing and productionizing features across Tectons 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.
Responsibilities
Drive productmarket 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 firsthand 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 companywide strategy and decisionmaking. Understands market dynamics and helps guide prioritization and requirements development. Operates as an SME for Data Scientist and ML Engineer personas and workloads.
Support GotoMarket. 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.
Qualifications
35 years in Product Management on highlytechnical products
Demonstrable experience writing PRDs and requirements for technical products and working crossfunctionally with both GTM and Engineering teams
2 years in Product Management at earlystage 50150 employee) startups
Demonstrated competency participating in webinars briefings customer presentations and demos
Excellent skills in user research outbound discovery and connectionbuilding. Experience prospecting on LinkedIn etc for research partners who are not customers
Operatorlevel 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
$162000 $222000 a year
The estimated US base salary range for this position is$162000 $222000annually for employees based within California & New York. In addition to base salary we offer competitive equity & comprehensive benefits such as medical dental vision life 401(K) flexible paid time off 10 paid holidays each calendar year sick time leave of absence as per the FMLA and other relevant leave laws. Individual compensation packages are based on multiple factors such as location level role scope and complexity as well as additional jobrelated factors such as skills experience and expertise.
San Francisco / New York City: This role will need to be in the office for inperson collaboration 23 times per week
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
This employer participates in EVerify and will provide the federal government with your Form I9 information to confirm that you are authorized to work in the U.S.
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