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# Technical Success Engineer

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/datagrail.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 80k–100k / yrDepartment[Technical Support](https://jobicy.com/categories/technical-support.md)EmploymentFull TimeExperienceOpen levelPublished5 Oct 2026Apply before4 Nov 2026Listing views43Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

DataGrail is hiring a Technical Success Engineer to own tier-1 technical support for its data privacy platform and guide customer issues through resolution. The role investigates and reproduces bugs, gathers logs and customer context, escalates actionable cases to Engineering, and communicates fixes or workarounds back to customers. It also partners with Customer Success on technical implementations, maintains public documentation, and identifies recurring support patterns that can reduce resolution times. Candidates need a technical support, implementation, or engineering background, strong written communication, scripting ability, and comfort working in a fast-moving, AI-first environment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis role requires independent technical troubleshooting across customer tickets, logs, APIs, and product behavior while deciding when escalation is necessary. Its high-priority queue, cross-functional coordination, and expectation to improve support processes create a demanding operating environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$90,000US market range$75k–$110k0$121k

AI insightThe disclosed base compensation range is $80,000 to $100,000 USD yearly, producing a job median of $90,000. For a US-based Technical Success Engineer or technical support engineer with customer-facing troubleshooting, scripting, API, and implementation responsibilities, an estimated market range is $75,000 to $110,000 USD annually; actual pay may vary by experience, location, and technical depth.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Technical Support](https://jobicy.com/jobs?search_keywords=Technical%20Support.md)[Customer Success](https://jobicy.com/jobs?search_keywords=Customer%20Success.md)[Bug Reproduction](https://jobicy.com/jobs?search_keywords=Bug%20Reproduction.md)[Troubleshooting](https://jobicy.com/jobs?search_keywords=Troubleshooting.md)[API Support](https://jobicy.com/jobs?search_keywords=API%20Support.md)[Log Analysis](https://jobicy.com/jobs?search_keywords=Log%20Analysis.md)[Technical Documentation](https://jobicy.com/jobs?search_keywords=Technical%20Documentation.md)[Customer Implementation](https://jobicy.com/jobs?search_keywords=Customer%20Implementation.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)

Sample interview questionsHow would you handle a customer report that an integration is failing intermittently?I would first collect the timing, affected users or records, error messages, recent configuration changes, and expected versus actual behavior. I would review relevant logs and API responses, attempt to reproduce the issue in a controlled environment, and isolate whether the failure is caused by authentication, rate limits, data conditions, or platform behavior. I would provide the customer with clear status updates and a workaround if available, then escalate a concise package of evidence and reproduction steps to Engineering when necessary.

Describe how you would turn a vague customer report into an actionable engineering ticket.

I would ask focused, non-technical questions to establish the workflow, inputs, expected result, actual result, frequency, and business impact. I would supplement that account with technical evidence such as timestamps, account identifiers, request IDs, logs, screenshots, and reproduction steps. The final ticket would clearly state the issue, environment, scope, observed behavior, expected behavior, and any workaround already tested.

What approach would you use to reduce recurring support requests?

I would regularly categorize tickets by product area, root cause, volume, and time to resolution to identify repeatable themes. For issues that customers can prevent or resolve themselves, I would improve help-center articles, troubleshooting guides, and implementation checklists. For product or tooling gaps, I would share evidence-backed recommendations with Product and Engineering and measure whether the changes reduce ticket volume and SLA impact.

How do you prioritize several urgent customer issues at once?

I would prioritize based on customer impact, severity, security or data-risk implications, number of affected users, contractual SLA, and availability of a workaround. I would acknowledge each request quickly, set realistic expectations, and keep a visible queue of ownership and next actions. If priorities conflict, I would escalate the tradeoff early to the appropriate support or engineering partner rather than allowing critical issues to stall.

How would you use AI tools responsibly in a technical support workflow?

I would use AI tools to accelerate tasks such as summarizing ticket histories, drafting customer-facing explanations, proposing troubleshooting paths, and improving documentation. I would validate outputs against logs, product behavior, and approved technical guidance before sharing anything externally. I would also protect customer data by following company security policies and avoid placing sensitive information into tools that are not approved for that use.

Opportunity details

## About this role.

### The Opportunity:

Data privacy has become one of the most strategic challenges facing modern enterprises — sitting at the intersection of AI governance, data operations, and customer trust. As companies adopt AI at scale, they need new ways to automate privacy and manage risk without slowing innovation. DataGrail has launched the first agentic privacy platform, and we’re entering a pivotal phase of growth as we scale toward the next stage of the business.

As a Technical Success Engineer, you’ll serve as the first line of contact for questions coming through our support queue, investigating bugs, escalating when needed, and staying with each issue until it’s resolved. You’ll partner with Customer Success to ensure successful technical implementation for customers, and keep DataGrail’s public documentation up to date. You’ll also see firsthand what blocks customers in the product, and you’ll partner regularly with Product and Engineering to help shape upcoming features. DataGrail is an AI-first organization, and you’ll use tools like Claude and Claude Code every day to work more efficiently, right alongside the rest of the team.

### What You’ll Do:

* Serve as DataGrail’s tier 1 technical support, resolving requests directly and flagging what needs deeper expertise.
* Investigate and reproduce reported bugs, then escalate to Engineering with clear repro steps and context.
* Facilitate the back-and-forth between Engineering and the customer, and close the loop once a fix or workaround ships.
* Partner with Customer Success to ensure successful technical implementation for customers.
* Keep DataGrail’s public documentation up to date.
* Identify recurring patterns in support tickets to help improve processes and documentation, enabling customers to self-serve enablement and troubleshooting as much as possible, and helping drive down resolution time and key SLAs.
* Contribute to DataGrail’s AI-first workflows, helping build and improve the shared tools, prompts, and processes that help the team move faster.
* Partner closely with Product and Engineering, surfacing what’s blocking customers in the product and feeding that insight into upcoming features.

### What You’ll Bring:

* Strong technical background from an engineering, technical support, or implementation role.
* Familiarity with at least one programming language, ideally Ruby on Rails, with the ability to write scripts to diagnose issues.
* Ability to reproduce an issue, gather technical context from a non-technical customer, and dig through logs to paint a complete picture for Engineering.
* Strong written communicator, comfortable working directly with customers via email or Zoom, able to translate technical issues into clear guidance for both customers and engineers.
* Comfortable being pulled in multiple directions at once, able to multitask and shift between competing high-priority issues throughout the day.
* Comfortable operating in ambiguity, asking good questions, and experimenting with new approaches as the support function matures.
* An AI-first mindset: you use tools like Claude and Claude Code daily and contribute to the shared AI workflows and processes that help the whole team move faster.
* A habit of flagging process or tooling improvements when you spot a recurring problem.

### Bonus Points

* Experience with REST APIs and authentication protocols such as SAML and SSO.
* Experience with logging and observability tools such as Datadog or Sentry.
* Familiarity with AWS or cloud infrastructure basics.
* Familiarity with SQL and analytics.

### What Success Looks Like:

### Within 90 Days You’ll:

* Be fully ramped on DataGrail’s product and support workflows, responding to tickets independently.
* Be able to independently handle day-to-day technical support requests, and know when and how to loop in others for the more complex ones.
* Successfully investigate a bug, raise it with Engineering with clear repro steps, and close the loop with the customer.
* Make your first contributions to DataGrail’s public documentation.

### Within 180 Days You’ll:

* Own front-line technical support end-to-end for all the requests that come your way.
* Contribute regularly to DataGrail’s public documentation, both writing new content and reviewing existing pages.
* Be a reliable partner to Customer Success on customer technical implementation.
* Start spotting recurring patterns in tickets and sharing early ideas for improving processes and reducing resolution time.
*

### Within 365 Days You’ll:

Be a go-to resource for technical support questions.
* Help drive down resolution time and consistently meet strong SLA targets, including time to first response.
* Take ownership of reducing the volume of issues escalated to Engineering, closing gaps in documentation, tooling, and support-level fixes.
* Stay closely attuned to patterns and pain points across support, proactively raising product gaps as feature requests, and closing documentation gaps yourself rather than just flagging them.

Please note that the base compensation range below is a guideline and the final compensation will be based on factors such as qualifications, skill level, and competencies. Our compensation ranges apply to all US-based job postings regardless of state.

All full-time regular employees are eligible for equity, health, dental & vision insurance plans, remote-first working environment, 401k savings plan, parental leave, wellness benefits, flexible time off, paid holidays, and a work from home stipend. Benefits are subject to change.

Compensation Range

$80,000—$100,000 USD

### About Us:

DataGrail is the Agentic Data Privacy Platform. We help the world’s leading brands such as HubSpot, FanDuel, Dexcom, Major League Soccer, and Okta automate privacy and control risk with secure, human-governed AI that scales.

Powered by Vera, the complete privacy AI agent, and underpinned by an unrivaled 2,500+ integrations and no-compromise security architecture, DataGrail is built to solve complex privacy challenges that others can’t. DataGrail is rated 4.8/5 stars on G2 and is a two-time recognized privacy leader by IDC.

DataGrail provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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[Apply now >](https://jobicy.com/jobs/154607-technical-success-engineer.md)

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