Solutions Engineer
BigID
| Company | BigID |
| Category | Engineering |
| Location | United Kingdon |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 17 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Who we are:
BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.
We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:
BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security
BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
DUNS 100 Best Tech Companies to Work for
Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards
2024 Inc. 5000 list for the 4th consecutive year!
Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity
At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration. Solutions Engineer
Who we're looking for:
We're looking for a technical, customer-facing engineer to join our Sales & Solutions Engineering team — the technical backbone of our sales process and the hands-on force behind successful implementations, from the first technical conversation through steady-state deployment. This role blends deal-cycle technical ownership with post-sales implementation and support: you'll be judged on deal outcomes alongside your Account Executive, and on how smoothly customers land and run on BigID afterward. This isn't a "talk about the product" role — you'll personally build, configure, troubleshoot, and improve BigID in customer environments, both during the sales cycle and long after close.
What you'll do:
Pre-sales / deal cycle
Partner directly with Account Executives across the full sales cycle: discovery, qualification, and technical strategy for each opportunity
Deliver tailored product demos to technical and executive stakeholders, adapting on the fly to what the prospect actually cares about
Design, build, and run hands-on POCs/POVs in prospect environments: real data, real integrations, real results, not slideware
Own responses to RFPs/RFIs and security/technical questionnaires
Handle technical objections and competitive positioning in real time, in front of the customer
Post-sales implementation & ongoing delivery
Lead hands-on technical implementation for new deployments — you're the one in the environment doing the setup, not just handing over documentation
Own environment provisioning, integration configuration, and data source connections for new customers
Validate deployments against what was promised during the sales cycle, so what was sold is what gets delivered
Be the technical face of the customer's first weeks with BigID — the point where trust either solidifies or breaks
Smoothly transition stabilized accounts to ongoing Customer Success/Support, with clean documentation of what was built and why
Support, troubleshooting & product improvement
Troubleshoot complex software modules based on written and verbal issue reports from technical support, sales, account managers, and customers directly
Own internal and external customer calls, providing technical insight into reported issues and delivering fixes or workarounds to resolve field problems
Design and configure integrations with customer systems (APIs, authentication protocols, data pipelines) throughout the customer lifecycle,
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