Strategic Overview
Technical Program Manager at Databricks is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform Contribute to the evolution of delivery best practices within the Professional Services team and….
The role is listed for Auckland, New Zealand with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
CSQ327R248
Location: New Zealand
As a Technical Program Manager, you are instrumental in advancing our Forward Deployed Engineering team's mission, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly…
Key Responsibilities & Objectives
- Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform
- Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders
- Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment
Required Qualifications & Candidate Blueprint
- Ability to engage, influence, and build trust with senior executive stakeholders on the customer side, including CxOs
- Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture or modern data platforms
- Demonstrated ability to manage multiple workstreams across technical and business stakeholders, balancing scope, time, and risk
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
CSQ327R248
Location: New Zealand
As a Technical Program Manager, you are instrumental in advancing our Forward Deployed Engineering team's mission, which is dedicated to accelerating and de-risking our customers' outcomes by ensuring the success of every project we undertake. Your role is pivotal in not only achieving project goals but also in maintaining an exceptional level of customer satisfaction throughout the process. You will expertly navigate the balance between delivering outstanding results and aligning with the commercial objectives of the Forward Deployed Engineering organization. Your leadership and strategic insight will contribute directly to our clients' success and the growth of our business.
The impact you will have:
- You will take ownership of all commercial delivery of services from a project administration and director perspective across numerous projects, ranging from a single individual for 2-3 weeks to 6-month engagements of multi-person teams
- Serve as a trusted advisor to senior customer stakeholders, driving clarity, alignment, and confidence through all stages of delivery
- Shape the success of engagements by proactively managing risks, aligning cross-functional teams, and ensuring customer outcomes are met or exceeded
- Ensure accurate reporting on projects and keep all relevant parties up-to-date with project activity and success
- Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform
- Contribute to the evolution of delivery best practices within the Professional Services team and mentor junior team members to build future leaders
What we look for:
- Proven experience leading complex, enterprise-scale data or AI/ML projects in a fast-paced customer-facing environment
- Extensive experience successfully managing and overseeing projects with teams of up to 5 people, with contract values in excess of $0.5 million
- Ability to engage, influence, and build trust with senior executive stakeholders on the customer side, including CxOs
- Strong understanding of cloud platforms (AWS, Azure, GCP) and familiarity with data lakehouse architecture or modern data platforms
- Demonstrated ability to manage multiple workstreams across technical and business stakeholders, balancing scope, time, and risk
- Experience working with cross-functional teams, including engineering, solution architects, sales, and partners
- Skilled in driving structured governance, managing stakeholder expectations, and facilitating executive-level communication
- Experience in setting up and managing project delivery frameworks, including Agile, Scrum, or hybrid methodologies, ideally with PMI/PRINCE/AGILE certification
- Comfort with ambiguity and ability to bring clarity and structure to unstructured or evolving customer engagement
- Ability to identify delivery risks early and implement mitigation plans to ensure customer outcomes and satisfaction
- Experience with commercial aspects of delivery, including change control, SoW management, and margin protection
- High ownership mindset with a bias for action, accountability, and customer success
- Excellent verbal and written communication skills, with the ability to influence at all levels.
- Experience identifying opportunities to expand or upsell services in the context of ongoing delivery engagements
- A product-oriented mindset or experience working closely with product teams is a plus
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Drive growth in key accounts by identifying expansion opportunities, influencing future roadmaps, and enabling continued adoption of the Databricks platform — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
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