--- title: 'Senior Forward Deployed Engineer at Qualytics' canonical: 'https://feeny.ai/job/senior-forward-deployed-engineer-qualytics-united-states-51gbv6g9vnzw' type: 'job' last_seen: '2026-09-09' --- # Senior Forward Deployed Engineer at Qualytics - **Company:** Qualytics - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-24 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/qualytics/8e4f9c21-3208-4027-b324-b4e948866a48 ## Job description ## ABOUT QUALYTICS At Qualytics, we empower data teams to proactively identify and resolve data quality issues—including the ones they didn’t know they had. Our platform goes beyond surface-level checks to assess data row by row, catching silent errors, unexpected changes, and anomalies before they cause real-world consequences. We work with some of the most forward-thinking organizations in the world—enterprises where data quality directly impacts performance, compliance, and strategic decisions. Whether it’s financial reporting, healthcare operations, or AI model integrity, bad data can quietly break big things—and we help ensure it doesn’t. Joining Qualytics means collaborating with top-tier data professionals tackling high-stakes, deeply complex challenges. If you care about trust, rigor, and solving foundational problems that power how the world works—let's talk. ## ROLE OVERVIEW As a Senior Forward Deployed Engineer (FDE) at Qualytics, you’ll be a strategic partner and trusted advisor to large, data-intensive organizations—the kinds where even small data quality issues can cause massive downstream impacts (and not in a good way). You’ll own post-sale relationships and be responsible for delivering business value, ensuring renewal, and influencing growth across your portfolio. This is a relationship-driven, outcomes-oriented role. You’ll work closely with Sales, Product, and Engineering—but your focus will be on making sure customers get meaningful results, grow with us, and trust their data. You’ll also play a critical role in the pre-sales process, working with our Solutions Engineering and Sales teams to help prospects connect business needs to our platform’s capabilities. We are a startup. If you’re looking for fully-baked onboarding, gold-standard benefits, or total process clarity—we’re probably not the best fit. But if you thrive on ownership, flexibility, and solving problems that actually matter, you’ll feel right at home. ## WHAT YOU’LL DO - Own the full customer lifecycle—onboarding, enablement, engagement, retention, and expansion. - Serve as the strategic point of contact for a portfolio of enterprise customers. - Lead Customer Objective Reviews (CORs) to align stakeholders on goals, metrics, and measurable outcomes. - Partner with Sales to identify opportunities and drive renewals and expansion through demonstrated value. - Support pre-sales and POC efforts by mapping customer business needs to product capabilities—without committing to roadmap features or timelines. - Act as the voice of the customer internally, influencing Product and Engineering with structured, actionable feedback. ## WHAT YOU NEED TO SUCCEED ## MUST-HAVE SKILLS - 5+ years in a strategic, customer-facing role such as Customer Success, Forward Deployed Engineering, Strategic Account Management, or Client Partner (preferably in B2B SaaS). - Experience managing complex enterprise relationships, ideally including Fortune 500 organizations. - Demonstrated ability to build executive relationships, align on business value, and maintain customer health over time. - Exceptional communication skills — and this is not filler. You’ll need to translate broad business objectives into actionable technical conversations, and just as importantly, explain how technical features and capabilities support strategic goals. Whether you're engaging executives, analysts, data engineers, or business stakeholders, you should bring clarity, confidence, and credibility. - Comfortable working cross-functionally across Sales, Product, and Engineering—especially in fast-moving environments. - A strong bias toward ownership and action—you don’t wait for a playbook; you help build it. ## NICE TO HAVE - Familiarity with modern data platforms (e.g., Snowflake, Databricks, dbt, etc.) - SQL proficiency or conceptual comfort with data profiling and quality principles - Experience with data quality, data governance, or observability platforms - Past support of technical POCs or evaluations alongside Sales or Solutions Engineering - Experience working with Product and Engineering in a feedback-driven environment ## WHO YOU ARE - Strategic – You take a business-first approach: aligning customer success with company goals, revenue impact, and long-term partnership. - Executive-Ready – You hold your own with senior stakeholders and communicate clearly under pressure. - Collaborative – You work well across functions, advocate for your customers, and get things done. - Resilient – You thrive in ambiguity, adapt fast, and recover quickly when plans change. - Value-Driven – You can connect platform capabilities to real-world impact—and help others see it too. ## STARTUP REALITY CHECK We’re early-stage. That means: - Our documentation and tooling are improving - but not perfect (yet). - Priorities can change and decisions are made quickly - we move fast and fix things. - You’ll wear multiple hats and collaborate directly with founders and engineers. - You’ll help shape how we scale, not just follow a blueprint. If you’re energized by that kind of challenge, you’re exactly who we’re looking for. ## About Qualytics ## Company Overview - **One-liner**: Qualytics is a data quality platform that acts as a continuous data control layer, using AI-augmented monitoring and human governance to validate data before it is used in analytics, applications, or AI workflows. - **Entity Type**: Private (Series A) - **Headquarters**: Atlanta, Georgia, United States - **Founded**: 2020 - **Founders**: Gorkem Sevinc (Co-Founder & CEO), Eric Simmerman (Co-Founder & CTO) ## Core Business - **Primary industry/industries**: Data Quality, Data Governance, Enterprise Software - **Target customers**: B2B, Enterprise organizations with complex data environments (data teams, business teams, AI/ML teams) - **Mission or purpose**: "To make trusted data the standard" by bringing proactive, collaborative data quality to enterprises, replacing reactive "after-the-fact" repairs. ## Products & Services - **Qualytics Platform (The Data Control Layer)**: An AI-augmented SaaS platform that continuously profiles data sources, learns data behavior, and generates quality rules automatically. It operates on a "validate-at-use" principle, producing governed signals that act as real-time controls for humans (analytics, apps) and agents/copilots before they generate insights or take action. Includes a low-code interface for teams and a natural language interface, AgentQ. ## Market Standing - **Valuation/Market Cap**: Not publicly available. - **Key Metric**: Total Funding raised: **$18.15M** across 4 rounds. - Series A: **$10M** (led by BMW i Ventures, July 2025) - Venture Round: **$2.7M** (2022) - Seed Round: **$2.5M** (led by Tech Square Ventures, Dec 2022) - Pre-Seed Round: **$3.0M** (2021) - **Notable Investors/Partners**: BMW i Ventures (Series A lead), Tech Square Ventures. - **Growth Signals**: Headcount grew **+85.7% YoY** to 30 employees. The company cites customer results of a 20x ROI and 4x faster remediation, automating over 20K data quality rules. ## Competitive Advantages - **AI-First, Human-Guided Platform**: Their AI automatically infers and maintains data quality rules as data evolves, a significant differentiator from manual, reactive data quality approaches. - **Validate-at-Use Architecture**: Shifts data quality from a downstream check to a real-time control that actively governs how insights and actions are taken, making it a critical infrastructure layer for AI/agent reliability. - **Co-Ownership Model**: Designed to be used by both business teams and data teams (over 50 business users in one deployment), fostering collaboration without requiring separate systems. ## Strategic Focus - **Expanding Enterprise AI Governance**: Positioning the platform as a fundamental "control layer" for trusted AI, especially for copilots and agents that need to access governed context in real-time (via MCP, API). - **Scaling Sales & Partnerships**: Actively hiring for a **Head of Partnerships** [jobs.ashbyhq.com](https://jobs.ashbyhq.com/qualytics), indicating a focus on channel and strategic partner growth. - **Continuous Product Development**: Building out features like live anomaly counts in data lineage and improving the natural language interface (AgentQ). ## Why Work Here - **Culture & Values**: A values-driven organization emphasizing trust, collaboration, transparency, continuous improvement, and a fun environment (Slack GIPHY conversations). The team is described as flexible, honest, hardworking, and collaborative [qualytics.ai](https://qualytics.ai/careers). - **Work Model**: **Fully remote** with an office hub in Atlanta for optional connection and collaboration [qualytics.ai](https://qualytics.ai/careers). - **Compensation & Benefits**: - Competitive salary and equity - 401(k) with company match - Medical, dental, and vision insurance (health benefits) - Unlimited vacation with common holidays off - Professional development support (budget, conference/speaking opportunities) - **Impact**: Opportunity to solve a massive, fundamental problem in enterprise data and AI. The team is composed of former CDOs, CTOs, and operators who are building a platform they wished they had in their prior roles. ## Sources 1. [qualytics.ai](https://qualytics.ai/) 2. [qualytics.ai/about-us](https://qualytics.ai/about-us) 3. [qualytics.ai/careers](https://qualytics.ai/careers) 4. [jobs.ashbyhq.com/qualytics](https://jobs.ashbyhq.com/qualytics) 5. 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