Soda Data
Sales Development Representative (SDR) in New York
New York, New York, United States · Full-time
Sponsorship not specifiedDetected 78 days ago
RESTSalesforceSalesOutbound SalesCommunication
About the role
- Data quality is the bottleneck of the AI era.
- Every Fortune 500 is trying to solve it.
- Today we're the data quality layer for accounts like Disney, Ralph Lauren, CBRE, HelloFresh or 2K Games.
Skills
- Soda Core (open source) and Soda Cloud (commercial SaaS).
- 50+ employees Backed by Point Nine, Hummingbird, Singular, and Eurazeo.
- High volume, high precision.
- Every email and every call should be sharp.
- Direct access.
- Own your pipeline.
- Hiring process Application 15-minutes Phone interview Interview with the SDR Manager Interview with the CRO and co-founder
- Communication is the job.
- What we want to see Based in New York Bachelor or
Company info
- Founded in 2018 by Maarten (Collibra employee #5) and Tom (creator of OSS projects that have generated hundreds of millions in value) Two products: Soda Core (open source) and Soda Cloud (commercial SaaS).
- Offices in New York What you'll actually do Months 1-6: ramp and execute In-person sprint in New York with the co-founder and the rest of the SDR team Learn the enterprise data stack well enough to hold a real conversation Learn the ICP: Data Engineers, Heads of Data Platform, Chief Data Officers Learn the tools: Salesforce, Lemlist, our sequencing stack, our data providers 50 dials/day to warm and cold prospects (the floor, not the ceiling) Internalize the script, then start booking intro calls for AEs Build your LinkedIn presence - we'll help you grow it into a real channel Sit in on every intro and demo call your AEs run Hit quota by the end of month 1 of full-time Attend in-person events with the team Months 6-12: scale and own Pre-qualify deeper; raise the quality bar on every meeting you book Start taking some intro calls yourself Run your own custom outbound campaigns - not just the playbook Work your first SMB deals end-to-end Train the next SDRs we hire Attend conferences, run field events, build your network Know your numbers cold and consistently exceed quota How you'll operate Playbooks exist - use them.
- We have proven messaging, sequences, and tooling.
- You'll work with AEs, Sales Engineers, the CRO, and the co-founder.
- Nobody is going to chase you for activity.
- We expect you to chase the number.
- If you're a quota-hitter who writes with precision, outworks your peers without being told to, and can hold your own in a conversation with a Data Managers at a Fortune 500, we want to talk.
- What we want to see Based in New York Bachelor or Master degree Sharp written and verbal communication non-negotiable Coachable: you take feedback and apply it the next day, not the next quarter A quota-hitter who's motivated to crush the number, not just hit it Comfortable on the phone.
- A lot of the phone.
- 1-3 years of sales experience, or a recent grad with a clear track record of being the top of whatever you've done Nice to have Degree from Top University Door-to-door or other high-volume sales background Exposure to Tech Saas sales Time in a high-growth startup
- Base $55,000, $85,000 OTE Flexible PTO, 401k, medical insurance Conferences, field events, team offsites, and sales trainings Direct access to AEs, Sales Engineers, the CRO, and the co-founder, no layers A casual work environment
- We're the team they call.
- The industry is exploding because AI doesn't work on bad data.
- We're scaling our SDR team in the US.
- This job is a perfect way to start an enterprise sales career by selling infrastructure to the most technical buyers in the market.
- One of our SDRs recently went from SDR to AE in 9 months.
- The path is clear, and we expect you to walk it in 12.
- Who we are Founded in 2018 by Maarten (Collibra employee #5) and Tom (creator of
Apply directly at Soda Data →Create a free account for alerts like thisView Soda Data immigration profile
This listing is sourced directly from Soda Data's careers page and normalized into a canonical job model.