Work at Wahoo

Associate Engineer

About the Role

The Associate Engineer role is your gateway into professional software development at Wahoo, where your code directly impacts athletes' training and racing performance. You'll work within our connected ecosystem — front ends, mobile apps, cloud services, and data systems — learning to build products that athletes depend on when it matters most. This role emphasizes quality-first development, smart use of modern tools (including AI), and continuous learning under close mentorship from experienced engineers.

What You’ll Do

• Quality-First Development: Write clean, well-tested code from day one; prioritize correctness and reliability over speed; actively participate in code reviews to continuously improve your craft
• Guided Feature Development: Own assigned features end-to-end with mentorship support, learning to deliver working software through the complete development cycle from design to production
• Cross-System Learning: Develop understanding of how features span firmware, mobile, and cloud systems; learn to think beyond single components when implementing solutions
• AI Tool Proficiency: Use AI coding assistants effectively to accelerate learning and development while maintaining code understanding and ownership—know when to use these tools and when to think independently
• Active Mentorship Participation: Engage with assigned mentor, ask thoughtful questions, document learnings, and demonstrate continuous growth in technical skills
• Team Collaboration: Work effectively with cross-functional teams; pair frequently with experienced engineers; contribute to testing and validation activities

Wahoo Context

At Wahoo, you're not just writing code—you're building products that athletes trust during their most important training sessions and races. This creates unique learning opportunities:

• Real Impact: Your work affects power meters that capture critical training data, bike computers that guide athletes through races, and apps that help them achieve their fitness goals
• Hardware-Software Integration: Learn how software interacts with physical devices—sensors, trainers, and bike computers—developing rare cross-stack engineering skills
• Quality Standards: Athletes can't afford unreliable data or performance issues during key workouts; you'll learn to build with the reliability standards that connected fitness products demand
• Ecosystem Integration: Our products work with Strava, Zwift, TrainingPeaks, and other platforms; you'll develop skills in building systems that integrate cleanly with external services
• Global Performance: Athletes use our products in all conditions—from indoor training sessions to outdoor races in heat, cold, and variable connectivity

What We’re Looking For

• 0-2 years of software engineering experience OR relevant degree in Computer Science, Software Engineering, or related technical field
• Demonstrated interest in software development through coursework, personal projects, internships, or bootcamp experience
• Proficiency in JavaScript, Node.js, and React front-end development
• Familiarity with version control (Git) and collaborative development workflows
• Understanding of software testing concepts and willingness to write tests
• Strong communication skills and ability to learn from feedback
• Demonstrated curiosity about technology and willingness to learn new tools and languages
• Experience or interest in working with modern development tools, including AI coding assistants
• Interest in building products that impact real users
• Bonus: Experience with native mobile development (Swift or Kotlin)
• Bonus: Interest in fitness, cycling, running, or connected devices

Success Indicators

• Consistently demonstrates learning and skill improvement over time
• Takes ownership of assigned work and delivers quality results with appropriate mentorship
• Creates code that rarely requires significant rework due to quality issues
• Shows understanding of how work fits into the broader product experience athletes depend on
• Demonstrates appropriate judgment in using AI tools—accelerates work without sacrificing code understanding
• Builds positive relationships with team members and contributes to a collaborative team culture
• Shows initiative in learning new technologies and expanding technical skills
• Communicates clearly about progress, challenges, and learnings

What We Offer

• Industry-competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible PTO and parental leave policies
• Professional development budget for conferences, courses, and learning resources
• Latest development tools and equipment
• Collaborative, learning-focused engineering culture
• Opportunity to work on products used by professional athletes and fitness enthusiasts worldwide
• Atlanta-based office with flexible remote work options

Category Director, Running

The Category Director of Running is a critical, highly strategic leadership role responsible for the athlete experience across the entire running product portfolio, including hardware, software, and the integrated ecosystem. You will be the driving force of the Running Category, defining the 3-5 year vision, strategy, and roadmap to establish Wahoo as a global leader in smart running fitness and training. This role requires a blend of visionary product leadership, commercial acumen, and a deep understanding of the endurance running community.

What You’ll Do

In this role, your key responsibilities are:

• Vision & Strategy: Define, own, and execute the long-term vision, strategy, and product roadmap for the entire Running Category, ensuring alignment with Wahoo’s overall mission and business goals.
• Product Leadership: Oversee the full product lifecycle for running products from concept and user research through development, launch, and end-of-life.
• Cross-Functional Leadership: Serve as the primary driver for the Running Category, leading and coordinating efforts across Engineering, Marketing, Sales, Operations, and Finance to ensure successful product development and market execution.
• Market Analysis & Business Case: Conduct in-depth market analysis, competitive assessments, and user research (qualitative and quantitative) to identify opportunities and build robust, data-driven business cases for new products and features.
• Team Development: Lead, mentor, and grow the cross functional team within the Running Category, fostering a culture of high performance, innovation, and user-centric design.
• Go-To-Market (GTM) Strategy: Collaborate with Marketing and Sales teams to develop compelling product narratives, packaging, pricing, and launch strategies that ensure competitive positioning, maximum impact, and adoption by athletes globally.

What We’re Looking For

We’d love to hear from you if the following describes you:

• Minimum of 8+ years of progressive experience in Product Management, with at least 3-5 years in a senior leadership role (Director or Category/Group Lead) managing a full product portfolio.
• Proven track record of defining and launching innovative, commercially successful consumer electronic products or fitness technology platforms.
• Deep passion for and expert knowledge of the endurance running and fitness industry.
• Exceptional leadership and communication skills, with demonstrated ability to influence and drive alignment across executive leadership and diverse cross-functional teams.
• Ability to work in a fast-paced, constantly innovating environment, demonstrating comfort with ambiguity and a bias for action.
• At Wahoo, our employees call themselves Wahooligans. To be a Wahooligan means to be driven by the purpose of building the better athlete in all of us. It means to be inspired by the vision of being THE global leader in smart fitness and training. It means operating by a core set of values that include having fun, challenging the status quo, supporting each other, taking ownership of your work, delivering results, and always doing the right thing!

E-commerce Marketplace Analyst

At Wahoo, we build training tools that athletes rely on every day. Our presence on global marketplaces like Amazon is a critical part of how we reach those athletes. As an Ecommerce Marketplace Analyst, you will be the primary engine behind our marketplace success, balancing the technical precision of logistics with the creative strategy of digital marketing. This is a versatile, high-impact role. You aren’t just looking at spreadsheets; you are managing the entire lifecycle of our products on Amazon and other marketplaces, ensuring they are in stock, highly visible, compliant, and profitable. You will act as the central hub for our marketplace operations, bringing clarity and structure to our global expansion efforts.

What You’ll Do

• Data Analysis: Align stock levels with marketing promos and budgets, providing the Business Manager with insights to drive incremental revenue opportunities.
• Experience Management: Monitor account health and customer feedback to maintain a high star rating across all marketplaces.
• Growth & Expansion: Research new marketplaces to identify growth opportunities, supporting the launch of new regions.
• Inventory & Logistics: Forecast demand to maintain a 95%+ fill rate. Manage purchase orders and optimize shipping processes to reduce freight costs while ensuring Amazon compliance.
• Marketing & Visibility: Drive sales through SEO optimization and Amazon Advertising (AMS). Manage ad spend to maintain a TACoS % and achieve top keyword rankings for priority products. Run successful marketing and sales campaigns throughout the year.
• Operational Excellence: Resolve chargebacks, shortages, and compliance issues (like suppressed listings) to keep the channel running smoothly. Align with operations on weekly ordering cycle and adjust availability and procurability of stock on hand.
• Support the Accounting Function: reconciling e-commerce payments, refunds, and credit memos across platforms, payment processors, and the general ledger to ensure accurate and timely financial reporting.

What We’re Looking For

• 3+ years of experience managing Amazon Vendor or Seller Central accounts.
• The "Whole Brain" Approach: You are comfortable switching between analytical inventory forecasting and creative marketing campaign management.
• Problem Solver: Proven ability to navigate Amazon’s complex ecosystem, from resolving operational penalties to optimizing "Detail Pages."
• Efficiency Minded: Experience maintaining healthy stock turnover (30–60 days) and managing promotional budgets for major events like Prime Day.
• Strong Communicator: Ability to collaborate with hardware, marketing, operations and supply chain teams to ensure a seamless athlete experience.

Tools & Systems (Plusses)

• Amazon Vendor Central, Amazon Advertising & Brand Registry
• NetSuite or equivalent ERP experience, office
• English, any additional languages

Quality Engineer, Device Experience

Do you have the exploratory mindset to find the failures that only surface 40 miles into a ride with weak GPS and three sensors connected? If this is you, as the embedded Quality Engineer on Wahoo's Device Experience squad, you are the athlete's advocate inside the team responsible for every software touchpoint in the hardware experience. That scope covers the full arc of using a Wahoo device: discovering and onboarding a new product, configuring it before a ride, recording a workout, and ensuring the data lands correctly — on the device, in the Wahoo Cloud, and in any third-party platforms the athlete has authorized.

What You’ll Do

Your primary job is to make the squad better at building quality by shaping test strategy from the start of each increment, helping engineers write tests at the right layer, and ensuring that every release goes out with honest, data-driven readiness signals. Reducing Change Failure Rate is the measure of whether this is working. You combine systematic test design with the exploratory mindset needed to find failures that only surface under real-world conditions — the kind that happen on a long ride with weak GPS and three sensors connected. The best person in this role will have been that athlete: someone who knows what it feels like when a workout doesn't sync, a sensor drops mid-ride, or a route fails to transfer before a race.

• Embedded Squad Quality: Work as a full member of the Device Experience squad — participating in planning, shaping acceptance criteria and definition of done, identifying coverage risks before implementation begins, and ensuring every meaningful change ships with evidence of validation.
• Test Strategy and Layering: Drive the right-layer approach for every feature: advocate for unit and contract/service tests first, UI and end-to-end journey tests only where they add unique value. Pair with developers to improve testability during the design phase.
• End-to-End Validation: Own the "Workout Pipeline." This includes sensor data capture (ANT+/BLE), in-ride reliability, firmware provisioning (OTA), and post-ride syncing to Wahoo Cloud and third-party platforms like Strava and Zwift.
• Real-World & Exploratory Testing: Move beyond the simulator. Perform hands-on testing in real-world conditions (movement, poor GPS, low battery, multi-sensor interference) to find edge cases that only appear on the road.
• Test Case Development: Design clear, comprehensive test cases that cover functional requirements, edge cases, and realistic athlete usage scenarios — interval workouts, long rides, multi-sensor setups, poor connectivity conditions, and post-ride sync.
• CI Integration: Identify the test cases with the highest return on automation — the checks that catch real regressions, run reliably, and give engineers a fast signal on PRs and nightly builds. Translate those into automated suite coverage and help move the team toward automated release gates for critical journeys.
• Release Readiness: Provide clear, data-driven readiness signals ahead of monthly device software releases and biweekly mobile train promotions. Document known gaps and risks explicitly so leadership has an honest view of what is and isn't validated.
• Defect Triage: Investigate and reproduce complex, intermittent issues — ANT+/BLE sensor failures, device-to-app pairing problems, sync errors — with clear reproduction steps and root-cause analysis. Work with the Hardware-in-the-Loop (HiL) team when lab infrastructure is needed to replicate conditions.

Wahoo Context

• Scope: Device Experience owns software interfaces that support athletes using Wahoo hardware — the companion app flows for onboarding and configuration, the cloud APIs that store and process workout data, and the integrations that distribute it to third-party platforms. Quality failures anywhere in this chain are visible to athletes.
• Hardware Surface: Wahoo's product line includes ELEMNT bike computers (BOLT, ROAM, ACE), KICKR smart trainers, and TRACKR heart rate monitors. Each product brings its own pairing, configuration, firmware provisioning, and data-capture requirements. Onboarding a new product category means a new test surface.
• Sensor Ecosystem: ELEMNT devices communicate with a broad matrix of third-party ANT+ and BLE sensors — power meters, heart rate monitors, cadence sensors, Di2/AXS shifters, and radar units. Connectivity quality is one of the most athlete-visible dimensions of the product.
• Third-Party Integrations: Workout data must reach Strava, TrainingPeaks, Zwift, and other platforms athletes depend on. Validating these integrations — including post-ride data delivery — is part of the Device Experience quality surface.
• HiL Team Collaboration: Hardware-in-the-Loop testing and device lab operations are owned by a dedicated HiL team. The HiL team owns and drives coverage of the highest-priority athlete journeys, and coordinates with embedded QEs to stay current on squad priorities. Your role is to be a clear, informed partner — surfacing what matters for Device Experience so that coverage stays aligned with what athletes actually do.
• Working Model: This role operates on an embedded model — you work day-to-day as a member of the Device Experience squad while reporting into the Quality Engineering function. The QE function sets quality strategy, standards, and tooling direction; the squad is where the work happens. You'll have peers in QE working across other squads and a shared community for craft development, retrospectives, and cross-squad quality initiatives.

What We’re Looking For

• 3+ years of software Quality Engineering, with meaningful time spent testing mobile apps, APIs, or hardware-adjacent software
• Experience designing test cases and test strategies, not just executing them — can look at a feature and identify what needs to be tested, at what layer, and why
• Hands-on experience writing and maintaining automated test suites (any language/framework — the skill matters more than the specific tool)
• Experience testing across more than one layer of a system — mobile app, backend API, or device — and understanding how failures at one layer surface in another
• Familiarity with bug tracking and test management tools (Jira, TestRail, or similar); writes clear, reproducible defect reports
• Comfort working directly with physical hardware devices; willingness to test against real devices, not just emulators or mocks
• Experience working within a CI/CD pipeline; understanding of where test automation fits in the build and release process
• Ability to reproduce and triage intermittent failures; patient, methodical approach to flaky or environment-sensitive issues
• Strong written communication; can document test results, coverage gaps, and release risks for both engineering and leadership audiences
• Experience testing Bluetooth (BLE) or ANT+ connectivity, or comparable wireless/IoT protocol experience, is a plus
• Active cyclist or runner; you understand how athletes train and what failure feels like from the other side of the screen
• Familiarity with Wahoo products as a user is a strong plus — knowing the product from the athlete's perspective directly improves test judgment

Success Indicators

• Change Failure Rate for Device Experience features is trending down; quality issues are prevented, not just caught Issues are found early — on PRs and in nightly runs — rather than surfacing late in the release cycle or reaching athletes
• Test coverage is layered correctly; unit and contract/service tests carry the load, with targeted end-to-end checks for the journeys that matter most
• Athletes can onboard a new Wahoo device, complete a workout, and find their data where they expect it — and regressions to that flow are caught before they reach production
• Critical journeys have defined automated checks and pass consistently on every release candidate
• The highest-value test cases are running in CI; automated coverage grows deliberately, with low flake rates and a clear signal on every PR
• Test cases reflect how athletes actually use the products — not just happy paths, but the scenarios that matter on a real ride or race day
• Defect reports are clear and reproducible; engineers can act on them without back-and-forth
• Coverage gaps and known risks are documented explicitly; leadership has an honest view of readiness before each release
• Release readiness signals arrive on time and are acted on; no surprises at train promotion time

Senior Applied Data Scientist

The Senior Applied Data Scientist sits at the intersection of data science, embedded systems, and product innovation, turning complex sensor and athlete data into reliable, production-ready intelligence. This role leads the development of advanced algorithms and sophisticated models with a high level of autonomy and strategic impact. From early-stage development through production and field use, this position drives clarity in the face of ambiguity, solving complex challenges at the system and feature level while partnering cross-functionally to translate data into actionable insights that elevate the athlete experience.

Responsibilities

• Own the development, validation, and refinement of complex algorithms and predictive models that support product functionality, athlete metrics, and control systems.
• Work with data from sensors, embedded devices, and user activity, ensuring quality, robustness, and interpretability.
• Collaborate closely with adjacent engineering teams to translate algorithms into production-ready implementations.
• Diagnose and resolve production and field issues related to data quality, metrics, or model behavior.
• Design and execute validation plans to evaluate model performance, stability, and edge-case behavior using real-world data.
• Maintain data pipelines and analysis workflows in Python, and develop tools to automate testing, data validation, and reporting.
• Communicate highly technical information to both technical and non-technical audiences.
• Provide technical guidance and informal mentorship to Data Scientists; review code, reports, and project deliverables.

Scope & Decision Authority

• Own defined modeling systems or metric families with minimal oversight.
• Make independent methodological decisions within scope; escalate when tradeoffs affect product behavior, athlete trust, or cross-functional commitments.
• Represent data science interests for assigned areas.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (Engineering, Computer Science, Mathematics, Physics, or similar); Master’s or PhD preferred.
• 5–8 years of professional experience in data science, applied modeling, or engineering in product-focused environments.
• Proven track record shipping and owning production algorithms and metrics end-to-end.
• Ability to lead technical direction within a defined scope.
• Proficiency in Python, MATLAB, and C/C++ for model development, analysis, and visualization.
• Strong time-series and signal processing knowledge, including feature engineering, filtering, segmentation, and performance evaluation.
• Strong software engineering fundamentals (version control, code review, documentation, automated testing) with a focus on maintainability.
• Ability to lead technical design discussions, evaluate tradeoffs (accuracy, latency, robustness, maintainability), and align cross-functional teams.
• Ability to communicate clearly with cross-functional partners and leadership.
• Ability to travel internationally as required, typically once or twice per year.
• Interest in fitness and endurance sports is a plus.

Staff Engineer, Data Platform

Are you ready to take the data behind millions of pedal strokes and heartbeats and engineer it into the ultimate competitive advantage? The data behind every pedal stroke, heart rate reading, and training session tells a story — and at Wahoo, that story flows through every part of the business. As our Staff Engineer, Data Platform, you'll own the business data layer as a company-wide asset: defining how operational and analytical data moves, how it's trusted, and how it can be leveraged across Product, Engineering, Sales, Finance, and beyond. This isn't a role about maintaining pipelines — it's about setting the technical direction for a data platform that the entire organization depends on and earning the credibility to shape decisions across teams that don't report to you.

You'll inherit a functioning infrastructure and make it genuinely excellent: closing gaps, raising standards, and writing the technical documents that govern future decisions. You'll anticipate problems 6–18 months before they surface and address them before they become crises. You'll be the most experienced technical voice on business data at Wahoo — a force multiplier whose judgment, standards, and guidance make every team that touches data more effective.

Key Responsibilities

• Data Platform Strategy & Architecture: Own the technical direction of Wahoo's business data platform as an organization-wide capability. Define a clear, prioritized roadmap for how it should evolve to meet needs across Product, Engineering, Sales, Finance, and Operations — not just the Platform & Operations team.
• RFC & Technical Documentation: Write RFCs, architecture decision records, and technical strategy documents that drive alignment across teams and serve as durable references. Architectural choices should be documented in ways that others can learn from, challenge, and build on.
• Cross-Team Technical Influence: Shape data architecture decisions across teams without relying on authority. Build consensus through technical credibility, clear reasoning, and the ability to make tradeoffs legible to stakeholders with different priorities.
• ELT Pipeline Ownership: Own and evolve pipelines moving data from source systems — including e-commerce, ERP, mobile, and operational integrations — through transformation and into our Redshift data warehouse. Set the reliability and observability standard across the board.
• Cloud Systems Partnership: Work closely with the Cloud team to source key operational and product data from the systems they own. Define clear data contracts at the boundary, advocate for the downstream needs of BI and business stakeholders and build relationships that make cross-team data flows reliable and well-understood.
• Data Modeling & SQL: Write and optimize SQL for complex views, materialized views, and datasets in Redshift. Define modeling standards and best practices that become the baseline others follow and extend.
• Security & Compliance by Default: Own the data security posture of the pipeline layer. Embed access controls, data classification, PII handling, audit logging, and least-privilege design into architecture from the start — working with the Director of Information Security to align with company policy and close gaps proactively.
• Proactive Risk Management: Identify and address technical risks in the data platform 6–18 months before they become operational problems. Schema decisions, capacity constraints, compliance gaps, vendor dependency — anticipate these and drive action before the urgency is acute.
• Tooling & Reliability: Maintain and evolve our data stack (dbt Cloud, Airflow, Airbyte, Rivery/Boomi) with a systems operator's mindset. Introduce improvements in a disciplined, non-disruptive way. Make the case for tooling changes with evidence and clear tradeoff analysis.
• BI Partnership: Partner closely with the BI team (Metabase, Power BI) to ensure data modeling decisions serve real analytical needs. The goal is datasets teams can extend independently — not ones that require ongoing engineering intervention to use.
• Pipeline Health & Data Quality: Define and enforce data quality standards with alerting, testing, and observability tooling. Problems should surface in your systems before they reach downstream consumers.
• Force Multiplication: Build data engineering literacy and capability across the company — not just the Platform & Operations team. Create the shared context, standards, and documentation that allow others to make good data decisions without you in the room.
• Budget-Aware Decision Making: Operate within and advocate clearly within real budget constraints. Know when a simpler solution is the right one — and when an investment now prevents a larger cost later. Bring proposals with tradeoffs quantified, not just technical preferences stated.

Wahoo Context

Wahoo is a connected fitness company making devices and software that serve competitive endurance athletes. Our data platform underpins decisions across every part of the business — from athlete training behavior to hardware supply chains, e-commerce operations, and financial performance.

• Data Domain: This role owns the business analytics layer — the pipelines, models, and datasets that serve decision-making across Sales, Finance, Product, and Operations. You'll source data from upstream engineering systems and build the downstream layer that turns it into analytical value, working across team boundaries to define clear data contracts and ensure reliable, well-understood data flows.
• Cross-Cutting Impact: Data decisions affect Product (athlete behavior and feature usage), Sales (revenue and channel performance), Finance (operational costs and margins), and Engineering (system instrumentation and reliability). This role earns organizational trust by serving all of those consumers well — and by making the platform legible enough that teams can be self-sufficient.
• Vision With Constraints: Wahoo is a growth-stage company with real budget discipline. The best candidate holds a long-range platform vision in one hand and a quarterly constraint in the other — making principled tradeoffs that move toward the vision without creating unsustainable technical debt or runaway costs.
• Security as a Design Principle: With athlete health and behavioral data flowing through our systems, security isn't an afterthought. This role is expected to own the data security posture of the pipeline layer and work proactively with the Director of Information Security.
• Inheriting and Improving: You'll step into a functioning infrastructure. The first priority is understanding what exists with precision — then earning the organizational trust to evolve it deliberately, not reactively.
• Small Team, Organizational Reach: You'll be the sole dedicated data engineer on the Platform & Operations team, with full hands-on ownership of the data platform — pipelines, modeling, tooling, and security posture. But you won't operate in isolation: you'll have established working relationships with the Cloud Engineering team (who owns the upstream systems you source from) and the Infrastructure & Operations team (who owns the foundational platform you run on). Your influence extends across BI, business functions, and cross-functional planning at the leadership level. This is a player-coach role where the playing comes first — with a collaborative network of technical peers around you.
• Stack: AWS-native (Redshift, Lambda, S3, EC2, DMS), dbt Cloud, Airflow, Airbyte, Rivery (Boomi), Metabase, Power BI.

Experience Requirements

• 10+ years of experience in data engineering, analytics engineering, or a closely related role — with a demonstrated track record of cross-org impact, not just team-level excellence
• Proven ability to own and evolve complex data platform decisions that held up over time — and to learn clearly from the ones that didn't
• Demonstrated cross-team influence: shaped technical decisions and standards adopted by multiple teams, without relying on direct authority
• Strong architectural thinking: designing systems for longevity, not just immediate needs; understanding how today's choices constrain tomorrow's options
• Excellent SQL skills — complex queries, performant views, advanced data modeling, and warehouse optimization at scale
• Deep hands-on experience with dbt (models, tests, sources, macros, project structure, and team-scale governance)
• Experience with ELT/orchestration tooling such as Airflow, Airbyte, or similar at production scale
• Proficiency in cloud data warehouses (Redshift, BigQuery, Snowflake, or similar) including cost management and query optimization
• Proficiency in Python or another scripting language — comfortable building lightweight tooling and automation, not just scripts
• Strong security instincts around data: access controls, PII handling, data classification, audit logging, and compliance frameworks relevant to consumer health data
• Excellent organizational discipline — manages multiple priorities, documents rigorously, and maintains systems with the consistency of an operator, not just a builder
• Experience evaluating build-vs-buy decisions and vendor options; makes recommendations with clear rationale
• Comfort in budget-constrained environments: surfaces tradeoffs quantified, not just technical preferences stated
• Strong communication skills — produces RFCs and ADRs that drive alignment; can present architecture strategy to engineering peers and executive stakeholders in terms each audience finds compelling
• Experience anticipating technical risk 6–18 months out and addressing it proactively

Nice to Have

• Experience with AWS services at an infrastructure level (IAM, VPC, cost allocation, security groups)
• Experience with dbt Cloud specifically, including environment configuration, job scheduling, and team-scale project governance
• Experience building or maintaining data observability tooling (Monte Carlo, Great Expectations, dbt tests at scale, or similar)
• Familiarity with compliance frameworks relevant to consumer health data (GDPR, CCPA, or similar)
• Industry engagement: conference talks, open-source contributions, technical writing, or community participation
• Interest in fitness, endurance sports, or connected hardware
• Experience using AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development and reduce toil

Success Indicators

• Within 90 days: Existing pipelines, dependencies, and data contracts are thoroughly documented; the candidate can confidently articulate system state, known risks, and a prioritized evolution roadmap to leadership
• Data quality issues are caught before reaching downstream consumers, with robust alerting and clear remediation ownership
• A security posture assessment of the data layer has been completed, with a prioritized remediation plan in place
• BI team and business stakeholders across Sales, Finance, and Product can self-serve on clean, well-modeled datasets with minimal ad hoc engineering intervention
• Data platform risks are identified and addressed proactively — leadership is not surprised by capacity, compliance, or vendor issues
• The data infrastructure evolves on a visible, understood roadmap — with each quarter's work clearly connected to the longer-term direction

Senior Quality Engineer

Do you love the idea of being the guardian of an athlete’s digital journey—from their first pedal stroke to their post-workout upload? As Wahoo’s Senior Quality Engineer, you’ll own the end-to-end technical integrity of our connected ecosystem, ensuring every sensor, app, and cloud integration performs flawlessly. You’ll move beyond isolated testing to design validation frameworks, anticipate integration risks, and engineer seamless athlete experiences across firmware, mobile, and cloud. If you’re a systems thinker who thrives on solving complex, real-world challenges and pushing the limits of connected performance, this is your chance to make every athlete’s journey rock-solid.

What You’ll Do

• System-Wide Test Architecture: Design and maintain test automation frameworks that validate cross-platform data flows and API consistency between firmware, mobile, and cloud.
• Integration Strategy: Define the “what” and “how” of testing for features that span multiple technical domains, ensuring no quality gaps exist at the hand-off points between systems.
• Ecosystem Validation: Own the quality of the full athlete journey, including complex 3rd-party integrations with Apple Health, Garmin Connect, and TrainingPeaks.
• Risk Architecture: Identify systemic risks in technical designs early in the development cycle, advocating for “testability” across the entire stack to catch integration failures before they reach production.
• Advanced Root Cause Analysis: Lead the investigation into complex, multi-system bugs — such as sync failures, data corruption across platforms, or latent connectivity issues— that require deep technical triage.
• Release Readiness Ownership: Serve as the final authority on ecosystem stability, providing data-driven recommendations for releases based on cross-platform performance metrics.

Wahoo Integration Context

• End-to-End Ownership: Responsible for ensuring a new ELEMNT feature works seamlessly across firmware, companion app, cloud sync, and external partner APIs.
• Performance & Reliability: Design stress tests that validate the system’s ability to maintain stable connections (ANT+/BLE) and data integrity during high-load athlete scenarios.
• Device Lab Strategy: Own the development of automated test fixtures and Hardware-in-the-Loop (HIL) environments to simulate real-world integration scenarios at scale.

What We’re Looking for

• 6+ years of software Quality Engineering, Systems Engineering, or Integration Engineering
• Strong test automation skills; experience designing and maintaining test frameworks
• Experience using AI tools (e.g., GitHub Copilot, Claude, or specialized LLM agents) to accelerate the creation of test scripts and documentation
• Experience testing across mobile, cloud, and embedded/firmware platforms
• Deep understanding of testing methodologies, strategies, and best practices
• Experience with CI/CD integration and DevOps practices
• Track record of improving quality processes and test infrastructure
• Strong analytical skills; ability to identify patterns and root causes
• Experience mentoring or leading other quality engineers
• Excellent communication skills, can articulate quality status and risks to technical and non-technical audiences
• Experience with performance testing and reliability testing
• Experience with hardware/firmware testing
• Experience in consumer electronics or IoT products

Wahooligan Experience Specialist

As a Wahooligan Experience Specialist, you’ll play a key role in delivering an outstanding customer experience to our global community of athletes. Similar to a customer service position, this role focuses on resolving customer inquiries, providing product insights, and ensuring that every interaction reflects Wahoo’s commitment to excellence.

Are you ready to make a difference for Wahooligans worldwide? If so, we’d love to hear from you!

Key Responsibilities

• Provide exceptional support to customers via email, chat, and phone, ensuring quick and complete resolution of inquiries.
• Identify and address customer issues by determining the cause, proposing effective solutions, expediting corrections, and following up to ensure satisfaction.
• Utilize the customer service management system (e.g., Zendesk) to log, track, and manage interactions.
• Communicate with customers throughout the resolution process, providing updates on product status (e.g., received, tested, replaced, canceled).
• Assist with pre-sale inquiries by explaining product features and differences to prospective customers.
• Maintain a database of product issues for analysis and collaborate with developers to resolve technical challenges.
• Manage inventory flow for customer returns, warranties, and replacements, ensuring efficient resolutions.
• Test returned products to collect feedback and identify issues.
• Coordinate shipments of defective products to manufacturers for testing or credit.
• Oversee the in-house inventory of spare and refurbished parts.
• Contribute to team success by achieving measurable outcomes.

What We’re Looking For

• Language Skills: Foreign language proficiency is a bonus - especially German
• Experience: 1–3 years in a customer service role, preferably in a technology-focused company.
• Technical Aptitude: Strong ability to learn and follow technical processes; familiarity with Zendesk, Google Drive, and Microsoft Office is a plus.
• Customer-Centric Approach: Exceptional interpersonal skills with a friendly, patient, and professional demeanor.
• Problem-Solving Skills: Ability to handle complaints tactfully, resolve issues effectively, and prioritize tasks.
• Communication: Excellent written and verbal communication skills with practiced listening abilities.
• Detail-Oriented: Strong organizational skills and the ability to manage multiple tasks simultaneously.
• Resilience: Thick-skinned and capable of managing challenging customer interactions.
• Ownership: Self-motivated with a bias for action and a commitment to delivering results.
• Flexibility: Willingness to work flexible hours, including evenings and weekends.
• Passion for Fitness: Enthusiasm for endurance sports, particularly cycling and running.