Experimentation Advisor - FME

As an Experimentation Advisor at Harness, you will be at the forefront of enabling our customers to unlock the full value of release monitoring & experimentation, early, consistently, and at scale, throughout their entire lifecycle with us. You’ll act as a trusted advisor to customers purchasing experimentation onboarding and adoption packages, ensuring they master the fundamentals of setting up experiments, helping them launch successful MVPs, and delivering expert training that drives both immediate meaningful impact and long-term success.  

Your work ensures that customers not only experience quick wins during onboarding but are also equipped with the knowledge, processes, and confidence to mature their experimentation practices and scale them across their organizations. 

You’ll also play a strategic part in supporting account teams with expansion opportunities, while proactively engaging with accounts at risk of churn to reinforce value and adoption.

Your success will come from deep cross-functional collaboration. Partnering with Customer Success, Product, Engineering, Sales, Support and Marketing, you will deliver tailored onboarding and adoption training, co-create customized adoption strategies with Customer Success, and continuously track customer experimentation goals to ensure measurable progress. 

You’ll also help shape and deliver resources, frameworks, and best practices that strengthen experimentation maturity across our customer base.  By blending tactical execution with strategic advisory, you will not only accelerate individual customer outcomes but also help establish Harness as the go-to partner for driving a culture of experimentation at scale.

• Serve as a trusted experimentation advisor to customers, guiding them through the onboarding and adoption of experimentation practices and ensuring they achieve measurable business value early in their journey
• Lead discovery with customers to gauge their experiment maturity, gaps and business objectives, whilst helping advise and formulate a plan for supporting their requirements 
• Deliver high-quality training, workshops, and enablement programs tailored to customer needs, driving engagement, knowledge transfer, and confidence in running experiments independently
• Provide proactive, hands-on support for running initial experiments while equipping customers with scalable processes, tools, and best practices for ongoing experimentation success and maximising value from FME 
• Ability to speak to and debug issues and questions related to data and experimentation to drive effective experiment design, set up, analysis and trust in the platform 
• Advocate for experimentation as a thought leader to help gain organisational buy-in, while demoing the platform capabilities tailored to customer use cases 
• Partner closely with Customer Success to co-create adoption roadmaps, set clear experimentation goals, and track progress against defined success metrics
• Identify opportunities for account expansion by showcasing the strategic and operational value of experimentation across business units and teams
• Engage with at-risk accounts to re-establish experimentation momentum, mitigate churn risk, and reinforce the value Harness delivers
• Develop and continuously refine resources, playbooks, and frameworks that strengthen customer experimentation maturity and adoption at scale
• Contribute customer insights back to internal teams, helping shape product roadmap, training content, success stories and go-to-market strategies that improve the overall customer experience
• Champion a culture of experimentation both within customer organisations and internally at Harness, advocating for data-driven decision-making and continuous learning
• Track, measure, and report on customer experimentation performance, sharing insights and recommendations that accelerate adoption and business impact

• 3+ years hands-on experience driving experiments from ideation to completion, building programs for scale, product optimisation ideally as a consultant as part of a professional services team, or in-house
• Excellent communication and storytelling abilities, with skill in simplifying complex concepts and inspiring customer confidence in experimentation practices
• Strategic thinker with strong attention to detail and strong project management skills
• Strong customer engagement skills with the ability to build trusted relationships, influence stakeholders, and drive adoption across both technical and non-technical teams
• Proven track record of training and enablement, including designing and delivering workshops, onboarding programs, or customer education initiatives.
• Analytical mindset with business acumen, capable of translating experimentation data into actionable insights and connecting them to strategic outcomes
• Cross-functional collaboration experience, working effectively with Customer Success, Product, Engineering, Sales, Support and Marketing teams to achieve shared goals
• Experienced in building strong customer relationships at both executive and technical levels
• Adept at balancing strategic planning with hands-on execution across multiple accounts and priorities
• Adaptability and problem-solving skills, able to navigate customer challenges, manage competing priorities, and deliver value in fast-paced environments
• Must be able to thrive in a fast-paced environment
• Have an understanding of web and app best practices 
• Ability to make appropriate scoping decisions 
• Skilled in gathering business requirements, defining success criteria, and managing multi-stakeholder projects
• Strong analytical, problem-solving, and communication skills
• Growth-oriented mindset with a passion for continuous learning, data-driven decision-making, and fostering a culture of experimentation 

Technical Skills 

• Proficiency with experimentation platforms and feature management tools (e.g., Optimizely, LaunchDarkly, Harness/Split.io, VWO, AB Tasty), including setup, configuration, and reporting
• Practical understanding of statistical approaches to A/B testing and analytical platforms/ data pipelines 
• Hands-on experience with product analytics tools (e.g., Amplitude, Mixpanel, Heap, Adobe Analytics, Google Analytics) to analyse experiment performance and customer behaviour 
• Ability to interpret and apply statistical concepts (e.g., hypothesis testing, sample sizing, confidence intervals, Bayesian methods) to experiment design and decision-making

Nice to Have 

• Working knowledge of SQL to query experiment datasets, validate test outcomes, and generate actionable insights
• Familiarity with SDKs, APIs, and event instrumentation, with the ability to collaborate closely with engineering teams during implementation and troubleshooting
• Comfort reading and reviewing code snippets (JavaScript, Python, or R) to validate tracking, debug issues, or support technical discussions
• Understanding of CI/CD pipelines and modern software delivery practices, with insight into how experimentation and feature flagging integrate into product development workflows
• Experience using data visualization and BI tools (e.g., Tableau, Looker, Power BI) to support customers using these for their experiment results

•  U.S Based- Ideally located within the Eastern Timezone 

• Competitive salary
• Comprehensive healthcare benefits
• Flexible Spending Account (FSA)
• Flexible work schedule
• Employee Assistance Program (EAP)
• Flexible Time Off and Parental Leave
• Monthly, quarterly, and annual social and team building events
• Monthly internet reimbursement

The anticipated base salary range for this position is between $140,000 and $164,000 annually. Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations.  The compensation package for this position also includes a commission/variable component, which is based on performance, plus equity, and benefits. More details about our company benefits can be found at the following link: https://www.harness.io/company/careers. 

• Harness AI Tackles Software Development’s Real Bottleneck
• After 'Vibe Coding' Comes 'Vibe Testing' (Almost)
• Startup Within a Startup: Empowering Intrapreneurs for Scalable Innovation - Jyoti Bansal (Harness)
• Jyoti Bansal, Harness | theCUBEd Awards
• Eight years after selling AppDynamics to Cisco, Jyoti Bansal is pursuing an unusual merger
• Harness snags Split.io, as it goes all in on feature flags and experiments
• Exclusive: Jyoti Bansal-led Harness has raised $150 million in debt financing

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. 

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at [email protected]. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.