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Delivery Manager, Professional Services

extra holidays
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Illinois (USA), New York (USA), United States

Offer summary

Qualifications:

5+ years in customer-facing project management roles for SAAS products, 2+ years experience in Data, ML/AI, and/or Cloud Infrastructure domains.

Key responsabilities:

  • Manage project delivery from timeline to quality
  • Be first point-of-escalation for risks/issues
  • Drive consensus on technical decisions
  • Cultivate relationships with customers for success
  • Contribute towards QoQ NPS improvements
Tecton logo
Tecton Scaleup https://tecton.ai/
51 - 200 Employees
See more Tecton offers

Job description

At Tecton, we solve the complex data problem in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions. Tecton abstracts away the complex engineering to speed up innovation.

Tecton’s founders developed the first Feature Store when they created Uber’s Michelangelo ML platform, and we’re now bringing those same capabilities to every organization in the world.

Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.

Responsibilities
  • Be the point of contact for Tecton’s Professional Services team on customer engagements.
  • Manage all parts of project delivery, including timeline, budget, forecasts, risks/issues, and quality. 
  • Contribute to the creation of project deliverables and artifacts, including detailed project plans, timelines, and status reports,  to provide visibility internally and externally as to the  status of the project.
  • Deliver the scope of work, within the days allotted for the customer implementation or project. 
  • Be the first point-of-escalation for our customer and implementation teams for risks/issues impacting project delivery.
  • Drive consensus on technical decisions quickly and effectively, while also keeping timeline and scope-of-work on track.
  • Cultivate relationships and trust with our customers, helping align on a technical implementation strategy to help them realize success. 
  • Contribute towards QoQ NPS improvements of Professional Services sentiment.

  • Qualifications
  • 5+ years in customer-facing project management roles, executing successful professional services engagements for enterprise SAAS products
  • 2+ years of tangible experience within the Data, ML/AI, and/or Cloud Infrastructure domains
  • Strong communication skills, with the ability to tailor messaging from front-line engineer to internal and customer leadership
  • Adept to identifying customer needs and developing solutions and implementation plans to meet those needs
  • Superior delivery and project management skills with the ability to have well-structure plans to drive customer timelines
  • Ability to manage multiple engagements in parallel
  • Experience with Project Management (e.g. Smartsheet, MS Project, Jira, etc.) and PSA (e.g. Certinia/Financial Force) tooling
  • Tecton values diversity and is an equal opportunity employer committed to creating an inclusive environment for all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other applicable legally protected characteristics.  If you would like to request any accommodations from the application through to the interview, please contact us at recruitingteam@tecton.ai.

    This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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    Experience

    Level of experience: Mid-level (2-5 years)
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

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