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Principal Product Manager, Data Platforms
1 week ago
Activision San Francisco, United States**Job Title**: Principal Product Manager, Data Platforms - Activision Blizzard Media · **Reporting to**: Senior Director, Product Management · **Location**:San Francisco, CA · **Your Role Within the Kingdom**: · Want to empower the world's best games? Interested in defining the f ...
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Director, Data Platforms
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Hispanic Technology Executive Council San Francisco, CA, United StatesCompany Overview DocuSign helps organizations connect and automate how they agree. What you'll do As the Director of Product Management for our Agreement Data Platform team, you will spearhead the development and execution of our strategy to capture, define, structure and leverag ...
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Director, Data Platforms
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Lead Data Platform Architect
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Lead Data Platform Architect
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Infrastructure Engineer, Data Platform
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Senior Data Platform Engineer
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Engineering Manager, Data Platform
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Software Engineering Data Platform
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Senior Data Platform Engineer
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Software Engineer, Data Platform
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Socotra San Francisco, United StatesAt Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. · We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. ...
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Founding Data Platform Engineer
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Everyday Agents San Francisco, United States Full timeAbout Woven · Consumer Travel is Ripe for Disruption · Today's travelers are seeking personalized, immersive, and authentic experiences that reflect their unique tastes and interests. They want to be inspired, to feel the thrill of discovery, and to seamlessly benefit from techno ...
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Founding Data Platform Engineer
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Software Engineer, Data Platform
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Senior Data Platform Engineer
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Weights & Biases San Francisco, California, United States Full timeAt Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, fr ...
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Senior Data Platform Engineer
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Senior Software Engineer, Data Platform
2 weeks ago
HighNote San Francisco, CA, United StatesAbout Highnote Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an all in one card issuer processor and program management platform. We give digital-first organizations the flexibility to easily issue and process payment cards that accel ...
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Senior Backend Engineer, Data Platform
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Remix San Francisco, United States[Full Time] Senior Backend Engineer, Data Platform at Remix (United States) | BEAMSTART Jobs · Senior Backend Engineer, Data Platform · Remix United States · Date Posted · 31 Oct, 2022 · Work Location · San Francisco, United States · Salary Offered · Not Specified · Job Type · ...
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Sr. Data Platform DevOps Engineer
2 weeks ago
Salesforce San Francisco, United StatesThe Salesforce Marketing Cloud Database Management Plane team consists of inquisitive and tenacious engineers dedicated to excellence through platform expertise and steadfast integrity. While we understand that delivery is important, we consider quality to be our highest priority ...
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Product Owner, Customer Data Platform
1 week ago
Asana San Francisco, CA, United StatesWe are seeking a strategic and results-driven Product Owner to join our Enterprise Technology/Martech team and lead the development and evolution of our Customer Data Platform (CDP). In this role, you will be responsible for systemizing requirements, and collaborating with cross- ...
Senior Software Engineer, Data Platform - San Francisco, United States - Oak HC/FT
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
About HighnoteFounded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an
all in one card issuer processor and program management platform. We give digital-first organizations the flexibility to easily issue and process payment cards that accelerate business growth and profitability.
We've raised $104M+ and grown our team to 100+ employees. Headquartered in San Francisco, we've managed to build one of the most advanced payments teams in the industry, with team memb
ers in 22+ US states.
Operating through our core values of customer obsession, executional excellence, intentional inclusion, we're helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability t
o solve for use cases that don't exist yet.
We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We
believe we're unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.
The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines.
With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue.
What you'll be doingBuilding secure and scalable data platforms that support our product/customer needs and power data driven decision making.
Writing high quality and robustly tested code, mostly in Java and Python
Understanding business/data needs and growth to build the right solutions
Documenting your work to support our rapidly-scaling company
Interfacing with internal business stakeholders and technology partners to support day to day operations and create new data products
What we are looking for
6+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis etc, and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes etc
Able to model and design modern data structures in SQL/NoSQL databases
A history of writing scalable, performant and maintainable code.
Experience with Java >= 11
Bonus skills
Experience with cloud platforms such as GCP or AWS
Docker and Kubernetes
Able to model and design modern data structured in data lakes and data warehouses
A background in the fin-tech space
Why Highnote?
We're a startup that allows for our employees to truly build from the ground up and impact every layer of our organization.
We're small on hierarchy and big on growth. We're a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity.
We're backed by Oak HC/FT, Costanoa Ventures, and XYZ Ventures. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).
Highnote benefits
Flexible Paid Time Off
100% healthcare coverage + 75% coverage for dependents
401k program
Up to 16 weeks off for Maternity leave + up to 6 weeks of Paternity leave
Equity in Highnote
Stipend to build out your home office; internet reimbursement
At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based.
Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits.
In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $170,000-$230,000.
Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office.
Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply.
We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work.
Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e:
she/her, he/him, they/them, etc).
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