Role overview

Sr. Field Technical Program Manager, Forward Deployed Engineering

Requirements and responsibilities

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Key Responsibilities

  • Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction
  • Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.
  • Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
  • Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees.
  • Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams.
  • Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.
  • Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.

Minimum Qualifications

  • Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.
  • Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers.
  • Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus.
  • Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning).

Preferred Qualifications

  • Certifications: PMP, CSM, or related program management certification.
  • Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™.
  • Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).
  • Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).
  • GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.
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Browse stack
FocusProfessional Services OperationsRole area
Seniority signalLeadCandidate level
StackAWS, Azure, GCPPrimary skills
Location1 accepted countryEligibility

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