Senior Forward Deployed Engineer

Accountabilities:

• • Own the full enterprise customer lifecycle, including onboarding, enablement, engagement, retention, renewals, and expansion.
  • Serve as the strategic point of contact for a portfolio of complex, data-intensive enterprise customers, building trusted relationships across technical and business teams.
  • Lead Customer Objective Reviews and similar strategic engagements to align stakeholders around objectives, success metrics, priorities, and measurable outcomes.
  • Partner with Sales to identify renewal and expansion opportunities by demonstrating tangible customer value and strengthening long-term relationships.
  • Support pre-sales activities and proof-of-concept engagements by translating customer business requirements into relevant platform capabilities and technical approaches.
  • Work closely with Solutions Engineering, Sales, Product, and Engineering teams to ensure customer needs are understood and addressed effectively.
  • Act as the internal voice of the customer, providing Product and Engineering teams with structured, actionable feedback that can inform product improvements.
  • Translate broad business objectives into clear technical discussions and explain complex technical capabilities in terms of strategic business impact.
  • Help customers address data quality, governance, profiling, and observability challenges while guiding them toward sustainable outcomes.
  • Contribute to the development of scalable customer engagement practices, processes, and playbooks within a rapidly evolving startup environment.
  • Take ownership of ambiguous or complex customer challenges and proactively develop solutions rather than relying on established playbooks.

  Requirements:

  • 5+ years of experience in a strategic, customer-facing position such as Customer Success, Forward Deployed Engineering, Strategic Account Management, Client Partner, or a comparable role, preferably within B2B SaaS.
  • Demonstrated experience managing complex enterprise relationships, ideally with large or Fortune 500 organizations.
  • Proven ability to build trusted relationships with executive stakeholders, understand business priorities, and consistently demonstrate customer value.
  • Exceptional written and verbal communication skills, with the ability to engage confidently with executives, analysts, data engineers, and business stakeholders.
  • Strong ability to bridge business and technology by translating strategic objectives into actionable technical conversations and connecting technical capabilities to measurable business outcomes.
  • Experience collaborating cross-functionally with Sales, Product, Engineering, and Solutions teams in fast-moving environments.
  • Strong ownership mindset, initiative, resilience, and willingness to operate without a fully established playbook.
  • Comfortable navigating ambiguity, changing priorities, and the demands of an early-stage technology company.
  • Familiarity with modern data platforms such as Snowflake, Databricks, or dbt is a plus.
  • SQL proficiency or conceptual understanding of data profiling and data quality principles is preferred.
  • Experience with data quality, data governance, data observability, or related platforms is advantageous.
  • Previous experience supporting technical proof-of-concepts, product evaluations, or pre-sales initiatives is a plus.
  • Experience partnering closely with Product and Engineering teams in a feedback-driven environment is desirable.

  Benefits:

  • Opportunity to work directly with sophisticated enterprise customers on high-impact data challenges.
  • High level of ownership and autonomy in a rapidly growing startup environment.
  • Significant exposure to Sales, Product, Engineering, Solutions, and executive stakeholders.
  • Opportunity to influence product direction through direct customer insights and feedback.
  • Flexible environment designed for professionals who thrive with autonomy and evolving priorities.
  • Opportunity to help shape customer engagement processes and scalable operating practices as the organization grows.
  • Meaningful exposure to modern data platforms, data quality, governance, and observability technologies.
  • Startup environment with opportunities to collaborate closely with founders and technical leaders.
  • Benefits and processes are evolving alongside the organization, reflecting its early-stage growth environment.