Senior Technical Program Manager, Snowflake

Machine Learning, IT PMO

$169-241.5k

+ Bonus plan + Equity plan

Expert level
San Francisco Bay Area

3-5 days a week in office ( San Mateo, CA)

Snowflake

Cloud data platform providing data warehouse-as-a-service for the cloud

Be an early applicant

Snowflake

Cloud data platform providing data warehouse-as-a-service for the cloud

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

$169-241.5k

+ Bonus plan + Equity plan

Expert level
San Francisco Bay Area

3-5 days a week in office ( San Mateo, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Role

Who you are

  • Have a “can do” attitude and enjoy leading high performing technical teams
  • Work with a high degree of integrity and accountability
  • Innate attention to detail, project planning expertise and execution
  • Ability to execute multiple projects concurrently across different stakeholders
  • Aptitude to deep dive into techno-functional aspects of projects
  • Thrive in uncertainty and able to navigate ambiguity to achieve program objectives
  • Able to work in an Agile environment for fast iterative deliveries
  • Exceptional communication, presentation, and interpersonal skills
  • Strong problem-solving and analytical abilities
  • Strong working knowledge of AI/ML to engage constantly with highly technical teams
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; MBA or advanced degree is preferred
  • 10+ years of experience in technical program management, with a focus on data science or machine learning initiatives. Proven track record of delivering business value
  • Technical Expertise
  • Technical knowledge of data science methodologies, AI/ML tools, and best practices
  • Up to date with the latest advancements in data science and machine learning and ability to target improvements in Data Science solutions
  • Familiar with Applied Research
  • Excellent spoken and written communication as well as receptive listening skills, with ability to present complex ideas in a clear, concise fashion to technical and non-technical audiences
  • Successful experience working, collaborating, and establishing credibility and relationships with leadership, colleagues, and clients
  • Ability to adapt, to be flexible, and to learn quickly in a dynamic environment
  • Excellent team player able to work with virtual and global cross functional teams
  • Relevant certifications preferred (PMP, PMI, Agile)

What the job involves

  • This role in IT PMO at Snowflake will be responsible for driving and managing Projects in our Data Science Portfolio
  • You will be responsible for the complete lifecycle of multiple projects from planning through launch
  • You will own the project plan/schedule/resource plans, driving deliverables and managing multiple project tracts with moderate to high levels of business and/or technical complexity and risk
  • As a Senior TPM - you will regularly interact with leadership and ensure the smooth delivery of projects in The Data Science portfolio
  • This role is not a remote work position and requires on-site presence at Snowflake
  • Lead and manage end-to-end data science programs, ensuring alignment with business goals and objectives
  • Translate Project objectives into detailed project plans (including scope, MVP, schedule and resource allocation), lead and successfully execute through strong collaboration and agile leadership
  • Track scheduled progress and revise as appropriate to meet the changing needs and requirements
  • Manages day-to-day operational aspects of the project/program requirements, scope, risks and change management issues
  • Ensure program risks are communicated to stakeholders and appropriately managed
  • Embed in the data science leadership on the staff
  • Collaborate with senior leadership, data scientists, engineers, and business units to drive focus on enabling leading edge Data Science capabilities
  • Serve as the primary point of contact for program stakeholders, providing regular updates and managing expectations
  • Facilitate communication and collaboration between technical and non-technical stakeholders. Ability to translate the technical complexity of certain problems for non-technical stakeholders
  • Effective Communications across Business and IT domains for both Senior Management and Delivery teams
  • Identify opportunities for process improvements and drive initiatives to enhance efficiency and effectiveness
  • Implement best practices and methodologies for program management, ensuring consistent and high-quality delivery
  • Work on process/efficiency improvement initiatives in the PMO
  • Own KPIs, metrics to measure the impact of AI/ML in a business context
  • Help stagger and time box innovation, with emphasis on time to value
  • Guide fast prototype development with sprints

Our take

Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organizations of all sizes from unleashing the true value of their data.

The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.

Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

37% employee growth in 12 months

Company

Funding (last 2 of 9 rounds)

Feb 2020

$479m

LATE VC

Oct 2018

$450m

LATE VC

Total funding: $1.4bn

Company benefits

  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work-from-home equipment
  • On-demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time-off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre-tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program

Company values

  • Put Customers First - We only succeed when our customers succeed
  • Integrity Always - Be open, honest and respectful
  • Think Big - Be ambitious and have big goals
  • Be Excellent - Quality and excellence count in everything we do
  • Get It Done - Results matter. Work hard and smart
  • Own It - Build our product and our company like it’s yours, because it is
  • Make Each Other the Best - Treat people with kindness and respect
  • Embrace Each Other's Differences - Accept and appreciate everyone from every walk of life

Company HQ

Bozeman, MT

Leadership

Benoit Dageville

(Co-Founder)

Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.

Thierry Cruanes

(Co-Founder)

Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.

Salary benchmarks

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Diversity & Inclusion at Snowflake

  • At Snowflake, embracing each others’ differences is a core value of our organization. We recognize and appreciate the importance of creating an environment in which all employees feel valued, included, and empowered to do their best work and bring great ideas to the table. Promoting the values of diversity and fostering an inclusive workplace culture takes each of us working together, caring deeply, and acting intentionally.
  • Since Day 1, Snowflake and its culture belong to each of us, We “own it.” Owning it means we continually look for ways to improve and it’s in that spirit that our Diversity Council was formed. Our Council spans every functional area with an eye towards diverse representation across a range of demographics - 50% female, 50% persons of color, 21% LGBTQ, 7% persons with disabilities, and four generations. The Council narrowed in on three priority areas to focus our initiatives and impact positive change.
  • 1. Enabling employee and community readiness by creating focus groups and using data to reveal deeper insights into our community and our specific needs and challenges to guide our future efforts and target initiatives.
  • 2. Empowering employees’ voices by organizing outlets for conversation, spotlighting different employee stories, building mentorship programs, and supporting cultural inclusion.
  • 3. Building external partnerships to broaden demographic representation in our candidate pipeline and educational partnerships to enable equitable opportunities for generations to come.
  • As a company of action, we are committed to managing and measuring our forward progress around diversity and inclusion. And because we are a data company, the approach of gaining insights from the data, setting targets, measuring results, and iterating is in our DNA. We have put in place the foundational groundwork to ensure diversity, equity, and inclusion for right now and for the future of Snowflake.

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