Senior People Transformation Strategist

About The Team

We are building a more efficient, intelligent, and AI-enabled People Operating System. As a Senior People Transformation Strategist, you will lead the design and execution of transformation initiatives that fundamentally reshape how the People function operates at DoorDash and Wolt.

About The Role

This is not a role for someone who optimizes at the margins. The first hire in this function will help define how this team operates — bringing both the discipline to execute and the judgment to shape what we build. You'll own significant workstreams within a broader transformation roadmap, diagnosing structural inefficiencies, redesigning processes end-to-end, and implementing scalable, AI-enabled solutions that change how work gets done across the organization.

This role is equal parts strategic design, execution, and change leadership: success is not just delivering solutions, but ensuring they are adopted and deliver measurable, lasting impact.

You will partner closely with COEs, People Business Partners, Product, Engineering, and Operations teams globally, and report to the Senior Manager, People Process Transformation and Continuous Improvement.

Success In This Role Looks Like

faster, simpler processes; high adoption of new ways of working; clear, measurable improvements in efficiency, quality, and employee experience — and a People function that is increasingly built for an AI-first environment.

You’re excited about this opportunity because you will…

Act as a strategic partner and program owner across high-impact transformation initiatives spanning People functions (e.g., HR, Talent Acquisition, onboarding, lifecycle processes)

Diagnose current-state processes to identify structural inefficiencies, root causes, and automation opportunities — and redesign them from the ground up where needed

Partner with Product and Engineering to deliver scalable, AI-enabled solutions that change how the People function operates, not just how it executes

Bring an AI-first mindset to every workstream — actively exploring how AI tools and automation can replace, simplify, or elevate the work

Drive change management for new ways of working, including stakeholder alignment, communication, and rollout planning across global teams

Assess change impacts, identify risks, and build mitigation plans to support successful implementation

Develop enablement materials (e.g., playbooks, training, guidance) to ensure teams can effectively adopt new processes

Define and track success metrics (e.g., time savings, SLA improvements, quality, adoption) and iterate based on results

Facilitate cross-functional working sessions to align on requirements and move initiatives forward

Build and maintain dashboards or reporting to monitor process performance and identify gaps

We’re excited about you because…

6–9+ years

of experience in process transformation, operations, or strategy — including experience operating as a strategic partner to senior leaders or acting in a program leadership capacity

Demonstrated ability to work in or design for AI-enabled environments — whether through prior experience with AI tools, workflow automation, or rethinking how work gets done in an AI-first context

Proven track record of delivering measurable, large-scale improvements (e.g., reduced cycle time, cost savings, increased quality or adoption) with clear ownership over outcomes

Experience driving significant change management and adoption of new processes, systems, or tools across complex, cross-functional organizations

Strong program and process logic — you think in systems, anticipate second-order effects, and know how to sequence work for maximum leverage

Track record of operating with a high degree of autonomy and acting as a thought partner to senior leaders, not just an executor of defined workstreams

Comfortable with ambiguity and a rapidly evolving environment where the function itself is being redesigned, not just optimized

Data-driven mindset with the ability to define success metrics, measure impact, and use data to influence direction

Clear, compelling communicator who can influence without direct authority and translate complex changes into actionable guidance for diverse audiences

Familiarity with structured process improvement approaches (e.g., Lean, Six Sigma, or equivalent) is a plus — but what matters most is the ability to diagnose problems clearly and drive measurable change; a certification is not a substitute for judgment

We expect this position to be filled by 7/26/2026.

About The Team

The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers.

About The Role

We’re hiring a

Data Solutions Engineer

with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance.

You’ll serve as a hands-on architect and technical partner to product engineering and infrastructure teams, helping translate complex business requirements into resilient and scalable data models. Your work will directly influence the evolution of

Taulu

, DoorDash’s unified storage abstraction layer, by shaping best practices and identifying platform gaps through real world engagements.

This is a

high-impact, cross functional role

that combines deep technical expertise with a customer centric approach. You’ll lead solutioning engagements from design through production, drive the adoption of Taulu modeling best practices, and ensure that our systems meet goals around reliability, cost efficiency, and velocity. You must be located in San Francisco, Sunnyvale, Seattle or New York for this hybrid opportunity.

You’re excited about this opportunity because you will…

Design and implement

highly scalable, fault tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions.

Architect and optimize

multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput.

Lead data modeling, performance tuning, and capacity planning

for large-scale, mission-critical storage workloads.

Partner with product engineering and infrastructure teams

to deeply understand domain specific data needs and guide them in adopting paved path storage solutions.

Serve as the DRI for solutioning engagements

, owning modeling in Taulu from experimentation through launch and scale.

Shape the evolution of Taulu

by identifying abstraction gaps and converting customer feedback into platform improvements.

Apply workload-aware design

patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency.

Drive adoption of operational best practices

across observability, schema design, capacity planning, and cost optimization across storage systems.

Promote clarity and continuity

by contributing to solutioning playbooks, decision logs, and architectural documentation.

We’re excited about you because…

You have 10+ years of experience designing and scaling distributed data systems, with deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB.

You have a strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery.

You’ve led data modeling efforts for high-throughput, low-latency workloads and understand the real-world trade-offs involved in NoSQL schema design.

You are experienced with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost.

You have a customer-first mindset, and thrive when working closely with product and platform teams to translate complex requirements into clean, scalable data models.

You are skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations.

You have a track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns.

You document decisions, share learnings, and take pride in contributing to reusable playbooks and durable frameworks for others to build upon.

Bonus: You’ve worked on or contributed to open-source distributed databases.

Notice Regarding Use Of Ai And Automated Tools

To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.

How It Works

Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool  in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit:

Data collected during this process is retained in accordance with our

Candidate Privacy Policy

and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our

Careers Page

.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use