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Manage a portfolio of global enterprise customers to drive expansion and maximize bookings. Lead strategic, outcome-focused selling, coordinate cross-functional teams, manage RFPs/procurement/legal reviews, maintain account plans and forecasting, and engage executives. Expect 10–20% travel for in-person strategic meetings.
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6SenseChallengerG2GongLinkedin Sales NavigatorMeddpiccOutreachRichardsonSalesforceSpinZoominfo
Cloud • Greentech • Social Impact • Software • Consulting
Own and grow a portfolio of enterprise customers by identifying expansion opportunities, selling new modules and users, coordinating cross-functional teams, maintaining account plans and forecasts, engaging executives, and closing multi-stakeholder deals with 10-20% travel.
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Provide pre-sales technical support for Samsara's connected operations products: handle inbound technical inquiries, run trials and POCs, build scripting/integrations, manage lab hardware/software, produce product content, support RFPs and cross-functional coordination, and surface industry-specific use cases to sales teams.
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The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
We are looking for Data Engineers to join our teams across PZN. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment!
What You'll Do
- Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam.
- Develop, deploy, and operate Java services that impact millions of users.
- Work towards supporting machine learning projects powering the experience that suits each user individually.
- Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day.
- Deliver scalable, testable, maintainable, and high-quality code.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
Who You Are
- You are familiar with the concepts of data modeling, data access, and data storage techniques.
- You are familiar with distributed data processing frameworks (ex: Beam, Spark).
- You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation.
- You value opportunities to work collaboratively.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $125,562 - $179,374 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. These ranges may be modified in the future.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
