Full-Time

Experimentation Advisor

Fme

Posted on 10/3/2025

Harness

Harness

1,001-5,000 employees

CI/CD platform with cloud cost management

Compensation Overview

$140k - $164k/yr

+ Commission/Variable + Equity

Remote in USA

Remote

Ideally located within the Eastern Time Zone.

Category
Consulting (1)
Required Skills
Mixpanel
Amplitude
Data Analysis
Google Analytics
Requirements
  • 3+ years hands-on experience driving experiments from ideation to completion, building programs for scale, product optimization 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
Responsibilities
  • 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
Desired Qualifications
  • 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

Harness provides a platform for automated software delivery and cloud cost management. It focuses on CI/CD, helping teams integrate code, deploy to production, run tests, and monitor applications through automated pipelines. It also offers a Cloud Cost Management tool that detects and stops cost anomalies in real time to optimize cloud spending. The self-managed Enterprise edition can be installed on a customer’s Kubernetes cluster. What sets Harness apart is its combination of intelligent automation across the software delivery lifecycle with real-time cloud cost control, plus an enterprise-grade, flexible deployment model. Its goal is to help organizations deliver software faster and more reliably while keeping cloud costs under control.

Company Size

1,001-5,000

Company Stage

Series E

Total Funding

$805M

Headquarters

San Francisco, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • $240M Series E at $5.5B valuation in 2026 funds IPO readiness with Bill Koefoed as CFO.
  • Cursor plugin launched April 30, 2026, integrates natural language CI/CD in IDEs.
  • Google Cloud 2026 DevOps Partner award and Infosys collaboration accelerate enterprise AI adoption.

What critics are saying

  • Airbyte's free Harness connector commoditizes data pipelines within 6-12 months.
  • Portable's no-code Snowflake integration bypasses Harness DB DevOps lock-in immediately.
  • Cursor ecosystem growth obsoletes Harness plugin via competitor IDE integrations in 18 months.

What makes Harness unique

  • Harness specializes in CD with AI-automated rollbacks and progressive delivery strategies.
  • Software Delivery Knowledge Graph unifies pipeline data for AI-driven insights.
  • Source-available CD module since 2022 enables free adoption with enterprise controls.

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Benefits

Competitive salary and early-stage stock options

Comprehensive healthcare benefits

Flexible Spending Account (FSA)

Flexible work schedule

Employee Assistance Program (EAP)

Paid Time Off & Parental Leave

Monthly, quarterly, & annual social and team building events

TGIF-Off program

Remote office stipend

Monthly internet reimbursement

Monthly Food & Beverage Reimbursement Program

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Cision
Apr 7th, 2026
Infosys and Harness announce strategic collaboration to unlock AI value for enterprise transformation and modernization programs.

Infosys and Harness announce strategic collaboration to unlock AI value for enterprise transformation and modernization programs. Apr 07, 2026, 07:55 ET Combined capabilities of Infosys Topaz, Infosys Cobalt, and Harness AI to help accelerate productivity, improve reliability, and scale AI adoption BENGALURU, India, April 7, 2026 /CNW/ - Infosys (NSE: INFY) (BSE: INFY) (NYSE: INFY), a global leader in AI-first business consulting and technology services, and Harness, the AI Software Delivery Platform(TM) company, today announced a strategic collaboration to accelerate agentic AI-led software delivery transformation for enterprises globally. This collaboration aligns the combined capabilities of Infosys Topaz Fabric and Infosys Cobalt, with the Harness Software Delivery Platform to drive improvements in productivity, software engineering, AI governance, and time-to-market at scale. Infosys Topaz Fabric is a purpose-built agentic services suite - a multi-layer AI fabric that unifies infrastructure, models, data, applications, and workflows into a composable, agent-ready ecosystem. Engineering teams often spend a majority of their time on downstream activities, such as testing, deployment, security, governance, reliability, and cost optimization, relying on manual and fragmented processes that slow releases and increase operational risk. Infosys and Harness aim to address these challenges by standardizing and automating the end-to-end path from code to production by applying AI to everything after code across the software delivery lifecycle. The collaboration brings context-aware intelligence and automation into software delivery. Together, Infosys and Harness will offer integrated solutions designed to support large-scale modernization and transformation programs, with a focus on complex, high-scale, and regulated environments. Harness' delivery intelligence is grounded in real-world signals, helping enterprises apply AI in a safer, more governed, and auditable manner. When integrated with Infosys Cobalt cloud offerings, these capabilities are designed to support consistent deployment across hybrid and multi-cloud environments. Salil Parekh, Chief Executive Officer, Infosys, said, "As AI accelerates change, enterprises need delivery systems that are faster, more reliable, and governed by design. Our collaboration with Harness combines Infosys Topaz and Infosys Cobalt offerings to help clients unlock AI value and translate their AI ambition into scalable, reliable execution - with trust and governance built in. Together, we are enabling a more disciplined path from innovation to production, embedding security, compliance, and resilience into how software is delivered across complex environments. This is an important step in helping enterprises adopt AI responsibly, accelerate outcomes, and sustain long-term advantage." Jyoti Bansal, Co-founder and Chief Executive Officer, Harness, said, "As AI accelerates code generation, the real challenge for enterprises is ensuring that innovation reaches production safely and efficiently. This creates what we call the AI Velocity Paradox: development speeds up, but downstream processes like testing, security, compliance, and deployment struggle to keep pace - introducing new risk and complexity. By bringing Harness's intelligent delivery platform together with Infosys' deep enterprise expertise, we're helping organizations deliver AI-driven software innovation with greater speed, predictability, and control." About Harness Harness is the AI Software Delivery Platform(TM) company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code-removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. About Infosys Infosys is a global leader in next-generation digital services and consulting. Over 330,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 63 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Safe Harbor Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as artificial intelligence ("AI"), generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2025. These filings are available at www.sec.gov. Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company's filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the Company unless it is required by law. SOURCE Infosys

Harness
Mar 31st, 2026
Announcing Snowflake support for Harness DB DevOps | Harness blog.

Announcing Snowflake support for Harness DB DevOps | Harness blog. Data platforms are evolving rapidly, and Snowflake has become a cornerstone of modern data architectures. Teams rely on Snowflake to power analytics, machine learning, and business intelligence, but managing data warehouse changes in a safe, repeatable way can still be a challenge. Today, Harness Inc. is excited to announce Snowflake support for Harness DB DevOps, enabling teams to bring the same automation, governance, and reliability they expect from application DevOps to their Snowflake data warehouse changes. By combining application and Snowflake deployments into a consistent pipeline, teams can release confidently at speed. With this release, organizations can now manage Snowflake schema changes using pipeline-driven database DevOps workflows directly within Harness. The challenge: managing Snowflake changes at scale. Snowflake empowers teams to move fast with data, but data warehouse change management often remains a manual or fragmented process. Common challenges include: * Manual change deployments that introduce risk and slow down releases * Limited visibility into schema changes across environments * Inconsistent promotion workflows between development, staging, and production * Difficulty enforcing governance and approvals Without a standardized process, teams struggle to balance speed, control, and reliability. Bringing Database DevOps to Snowflake. Harness DB DevOps now supports Snowflake as a first-class database platform, allowing teams to manage schema changes through automated, pipeline-driven workflows. This means Snowflake schema changes can now be treated just like application code - versioned, tested, and promoted through environments using Harness pipelines. With Snowflake support, teams can: * Automate schema deployments using Harness pipelines * Version control schema changes alongside application code * Promote changes across environments with consistency and auditability * Enforce approvals and governance policies before production releases * Track and audit deployments with full visibility The result is a modern Database DevOps workflow for Snowflake that helps teams release faster without sacrificing reliability. Key capabilities. Native Snowflake integration. Harness DB DevOps can now connect directly to Snowflake environments, allowing teams to deploy and manage schema changes seamlessly. Automated database change pipelines. Use Harness pipelines to automate Snowflake data warehouse deployments with repeatable workflows across environments. Governance and control. Leverage Harness approval gates, role-based access controls, and policy enforcement to ensure safe production changes. Deployment visibility and auditability. Track every Snowflake change deployment with full pipeline visibility and audit logs. Why this matters. As organizations increasingly rely on Snowflake to power data-driven applications, database changes need the same rigor and automation as application deployments. By bringing Snowflake into Harness DB DevOps, teams can: * Reduce manual deployment risk * Improve collaboration between developers and data teams * Standardize data warehouse release processes * Accelerate delivery of data platform changes Getting started. Snowflake support for Harness DB DevOps is now available. To get started: * Configure a Snowflake database connection in Harness * Add Snowflake change scripts to your repository * Create a Harness pipeline to deploy and promote changes * Automate Snowflake releases with confidence

Yahoo Finance
Mar 27th, 2026
Wipro partners with Harness to accelerate AI-native software delivery

Wipro Limited has partnered with Harness to integrate its WEGA agent-native platform with Harness's AI Software Delivery Platform. The collaboration aims to address challenges companies face when adopting AI, including disconnected tools and manual processes. The integrated platform will automate releases, reduce deployment risks and improve innovation speed. WEGA enables faster value realisation and confident AI scaling, whilst Harness handles post-code tasks including building, testing, deploying and cloud cost optimisation. CEO Srini Pallia stated the partnership establishes a blueprint for AI-native software delivery, enabling enterprises to innovate rapidly. Wipro provides IT, consulting and business process services including cloud computing, AI, cybersecurity and data analytics to clients across 65 countries.

PR Newswire
Mar 25th, 2026
Harness ranks 24th on Fortune's Most Innovative Companies list after $240M raise at $5.5B valuation

Harness, an AI software delivery platform company, has been named No. 24 on Fortune's 2026 America's Most Innovative Companies list. The recognition comes after the company exceeded $250 million in annual recurring revenue in 2025 with over 50% year-over-year growth. The company addresses what it calls the "AI Velocity Paradox" — whilst AI has accelerated code generation, 60-70% of engineering effort still occurs after code in testing, deployment, security and compliance. Harness applies AI and automation to these post-code processes for enterprise clients including Workday, United Airlines and National Australia Bank. In 2025, Harness raised $240 million in Series E funding led by Goldman Sachs at a $5.5 billion valuation and now supports over 1,000 enterprise customers globally with a team of 1,200 employees.

Harness
Mar 25th, 2026
Introducing Radar in Harness Bot & Abuse Protection | Harness blog.

Introducing Radar in Harness Bot & Abuse Protection | Harness blog. Visualizing the DNA of distributed attacks. Harness Inc. is thrilled to announce the launch of Radar, a major update to Harness Bot & Abuse Protection that fundamentally changes how security teams investigate and respond to sophisticated threats. Sophisticated bot attacks are rarely isolated incidents. They are complex networks of connected identities, shared fingerprints, and coordinated behaviors. Traditional lists and tables pulled from disparate logs and event data fail to capture this reality, forcing SOC analysts to manually correlate relevant attack data - a process that costs hours when seconds matter in a potential breach. Introducing Radar in Harness Bot & Abuse Protection. Radar changes the game for bot attack response. It is an intelligent threat visualization engine that instantly unmasks hidden relationships in bot attacks, turning the abstract "DNA" of an automated threat into a clear, interactive map. It helps with * Speed to Verdict: What used to take hours of manual cross-referencing now takes seconds of visual inspection. * Explainable Security: Radar "white-boxes" its detection logic, giving you visual proof of why Harness Inc. flagged a cluster of users. * Enterprise-Grade Depth: Built to meet the rigorous demands of leading financial institutions and E-Commerce, Radar handles the complexity of high-stakes fraud investigations with ease. Why SecOps teams need threat visualization. SOC analysts struggle to quickly respond to advanced threats and bot attacks targeting their organization's systems. Analysis of recent breach data shows that on average organizations take roughly six months to identify the related incident. Advanced automated bot and abuse attacks, increasingly accelerated with AI, frequently go undiscovered for this time period. The harsh reality is that data relationships and system interconnects in enterprise environments are complex to unwind as automated threats play out, leaving significant incident response gaps for threat detection. * Inhibited response: Security teams spend days, weeks, or months manually cross-referencing siloed data, delaying incident response when speed is critical. * Opaque Security: Detection logic in other bot mitigation offerings is a black box, leaving SecOps teams with little insight or evidence to justify why users or clusters are flagged. * Limited Depth: Existing tools struggle to handle the complexity and scale of high-stakes fraud investigations, falling short of enterprise requirements for financial institutions and e-commerce.

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