Implementation Engineer / Technical Project Manager

About the Role

technology delivery, client success, and hands-on implementation

You will guide projects from initial discovery all the way to successful go-lives, working closely with clients, internal product teams, and technical stakeholders. If you enjoy solving complex technical challenges while ensuring seamless project delivery, this role is an excellent fit.

Key Responsibilities

• Lead

  end-to-end client implementations

  , from project kickoff through deployment and post-go-live transition.
• Manage client delivery expectations and maintain strong relationships that support long-term customer success.
• Conduct

  data discovery, data mapping, and requirement-gathering sessions

  with client stakeholders.
• Collaborate with engineering and product teams to ensure solution alignment and successful rollout.
• Clearly articulate product features, technical capabilities, and solution approaches during client discussions.
• Participate actively in technical deep-dives, troubleshooting, and solution optimization.
• Track and report project progress, risks, dependencies, and timelines with strong communication and ownership.

Required Skills & Experience

• 3–5 years

  of experience in

  Client Delivery, Client Success, or Technical Project Management

  .
• Proven experience managing and delivering implementations

  from inception to go-live

  .
• Solid understanding of

  data concepts

  , data flows, and integration fundamentals.
• Working knowledge of

  Python

  for data handling, scripting, or automation.
• Strong grasp of

  AWS or Azure cloud concepts

  and modern cloud architectures.
• Ability to conduct

  data discovery and mapping sessions

  with both technical and business users.
• Strong communication skills with the ability to

  confidently engage in technical conversations

  with client engineering teams.
• A proactive problem solver who can balance project priorities and technical execution.

Preferred Qualifications

• Experience in SaaS implementations or product onboarding.
• Exposure to API integrations, ETL workflows, or cloud-native data pipelines.
• Technical certifications in AWS, Azure, or Python (optional but advantageous).