Full-Time

Professional Services Engagement Manager

Harness

Harness

1,001-5,000 employees

CI/CD platform with cloud cost management

Compensation Overview

$165k - $198k/yr

Remote in USA

Hybrid

Remote within the United States; travel up to 25%.

Category
Business & Strategy (2)
,
Required Skills
Forecasting
Salesforce
DevOps

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Requirements
  • 5+ years of experience in a technical sales, professional services, solutions consulting, or customer-facing role within the software delivery, DevOps, cloud, or developer tooling ecosystem.
  • 5+ years of experience as a manager or technical lead for teams in software engineering, devops software delivery, DevOps, cloud, developer tooling, etc
  • Strong understanding of modern software delivery practices, including CI/CD, DevOps, platform engineering, cloud-native technologies, and software development lifecycle best practices.
  • Proven ability to consult with customers on technical transformation initiatives, helping organizations improve software delivery processes, developer productivity, and operational outcomes.
  • Experience scoping complex technical engagements, developing service proposals, and authoring clear Statements of Work (SOWs) that align customer objectives with delivery outcomes.
  • Demonstrated success positioning and selling professional services offerings, including scoping, discovery, solution development, pricing, forecasting, and commercial negotiations.
  • Strong executive communication, presentation, and stakeholder management skills, with the ability to influence both technical and business audiences.
  • Experience building trusted partnerships across Sales, Customer Success, Services, and Engineering teams to drive successful customer outcomes.
  • Proficiency with Salesforce and related sales operations tools for opportunity management, forecasting, pipeline visibility, and quoting.
  • A customer-first mindset, strong business acumen, and the ability to balance technical depth with commercial objectives.
  • Passion for emerging trends in DevOps, software delivery, platform engineering, and developer productivity technologies.
Responsibilities
  • Partner with customers and account teams to understand business objectives, technical requirements, current-state environments, and desired outcomes, positioning Professional Services as a critical enabler of customer success.
  • Lead scoping sessions, discovery workshops, and solution discussions to identify and recommend the appropriate mix of packaged and custom service offerings that accelerate onboarding, adoption, and business value realization.
  • Develop and present professional services proposals, solution recommendations, pricing, and Statements of Work (SOWs) that clearly articulate scope, value, delivery methodology, and customer outcomes.
  • Collaborate with Sales, Customer Success, Implementation Engineering, Technical Program Managers, and delivery partners to ensure service engagements are accurately scoped, staffed, and positioned for successful execution.
  • Support the commercial sales process by guiding customers through service pricing, contractual terms, project assumptions, and implementation approaches while addressing objections and mitigating risk.
  • Drive achievement of Professional Services bookings and margin targets through accurate forecasting, opportunity management, and strategic engagement with key customer accounts.
  • Serve as a trusted advisor to Account Executives and Customer Success teams by identifying services opportunities, coaching stakeholders on service offerings, and integrating services into the standard customer journey.
  • Partner with delivery teams to translate customer requirements into detailed implementation plans and ensure a seamless transition from sales to execution.
  • Communicate customer trends, market feedback, and operational improvement opportunities to leadership and cross-functional teams to enhance service offerings, go-to-market strategies, and delivery efficiency.
  • Create and deliver enablement content that educates internal teams on Professional Services capabilities, value propositions, methodologies, and best practices for positioning and selling services.
  • Occasionally lead implementation engagements of core Harness modules (CI/CD/STO/IacM) for new customer prospects that require a sales-sensitive implementation to be the “landing vehicle” for large deals, through a “Paid Pilot” product sales motion
  • Instill confidence in Prospects about Digital/DevSecOps/AI transformation journey and talk through the best practices, drawing upon personal lived experience as a technical leader and software engineering / devops veteran

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • December 11, 2025 financing raised $240 million at a $5.5 billion valuation.
  • July 2026 launches target urgent six-hour exploit windows with automated remediation.
  • Gartner named Harness a Leader in the 2026 Magic Quadrant for DevSecOps Platforms.

What critics are saying

  • GitLab, Atlassian, and SmartBear are shipping overlapping AI delivery controls in 2026.
  • April 1, 2026 layoffs cut about 80 U.S. employees, signaling ongoing cost pressure.
  • If agentic-AI adoption stalls, Harness's new platform bets become expensive feature theater.

What makes Harness unique

  • Harness unified CI/CD, AppSec, and agent governance around one delivery graph.
  • Agent DLC extends pipelines to AI agents with evals, deploys, tracing, and firewalls.
  • Kong and Apigee integrations embed Harness security into AI traffic and gateways.

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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

-1%

1 year growth

-1%

2 year growth

0%
PR Newswire
Aug 19th, 2026
Harness launches AI agents for machine-speed vulnerability response

Harness has launched a suite of AI-powered security agents designed to accelerate vulnerability response at machine speed. The platform includes AI SAST scanning, automated triage and remediation agents, a Zero-Day Agent, and virtual patching capabilities. The tools address a growing challenge: attackers using frontier AI models can exploit vulnerabilities within six hours of disclosure, whilst the average fix still takes over 50 days. Project Glasswing partners have surfaced roughly 10 times more vulnerabilities using LLM-based scanning. The Zero-Day Agent monitors for newly disclosed threats continuously, identifies affected pipelines, and generates validated fixes within minutes. Virtual patching deploys protective measures immediately whilst permanent fixes are developed. The capabilities are available now as part of the Harness platform. The company previously merged with Traceable in early 2025.

Digital IT News
Aug 19th, 2026
Harness launches AI security tools for faster vulnerability remediation.

Harness launches AI security tools for faster vulnerability remediation. Harness has introduced new application security capabilities, including AI SAST, agentic triage and remediation, a dedicated Zero-Day Agent, and virtual patching. Together, the capabilities help security teams detect vulnerabilities, prioritize critical risks, and deploy fixes faster without relying on slow, disconnected security processes. As frontier AI accelerates attackers' ability to exploit vulnerabilities, Harness aims to give defenders the automation and speed needed to keep pace. Frontier AI models are now on both sides of the equation. Attackers are using them to find and chain vulnerabilities faster than ever, going from disclosure to first exploit in as little as six hours, while the average vulnerability still takes over 50 days to fix. Machine Learning & Artificial Intelligence Defenders are gaining the same advantage, but unevenly: Harness's own testing found frontier models surfacing roughly 10 times more vulnerabilities than traditional scanners, a wave of visibility that just becomes a bigger backlog without a faster way to act on it. Harness's view is that this is the new baseline, and every enterprise needs to be ready. This means having the ability to scan, triage, and ship a fix at the same machine speed those models now operate at, rather than relying on a security process built for a slower era. "We're at a point where the same AI models helping our customers ship software faster are also what attackers are using to find and exploit vulnerabilities faster," said Jyoti Bansal, CEO and Co-Founder of Harness. "The only way to close that gap is to make security a first-class part of the delivery pipeline itself, so scanning, prioritization, remediation, and deployment all move together instead of getting stuck in handoffs between disconnected systems. That's the shift we built this launch around, and it's the same shift every enterprise is going to have to make to stay ahead." Launching agents across the vulnerability lifecycle. Today's announcement covers every stage a vulnerability moves through, from the moment it's found to the moment it's shielded in production, so no one slow step holds up the rest of the chain. Here's a look at what's shipping: Security Products & Services * AI SAST: A deterministic scanning engine paired with an AI layer that filters out noise, cutting false positives dramatically while catching issues, like missing authorization checks, that traditional tools miss entirely. * Claude Scan Orchestration: Teams that want to run their own Claude-based scanners can now do it natively inside their pipeline, with results feeding directly into the same triage and remediation workflow as everything else. * Triage Agent: Automatically sorts the flood of scanner findings down to what's actually exploitable, so teams can focus their time on real risk. * Remediation Agent: Writes and validates a fix for a prioritized finding and opens a pull request for a developer to review, pinpointing the exact vulnerable function so teams aren't wasting time on dependencies that were never actually reachable. * Zero-Day Agent: Monitors for newly disclosed zero-days around the clock, instantly identifies every affected system across a customer's environment, and has a validated fix ready for review, often within minutes of a threat going public. * Virtual Patching: Deploys a protective patch the moment a vulnerability is discovered during testing, no code changes required, shielding production immediately while the real fix is finished behind the scenes. "For customers, this means the distance between 'we found something' and 'it's fixed and deployed' shrinks from weeks to hours, without adding headcount or a new tool to manage," said Rahul Sood, GM of AppSec at Harness. "Every agent in this launch is built on the same reachability data, so teams aren't just moving faster, they're spending that speed on the vulnerabilities that actually matter instead of chasing noise." Business Operations Partnering with Anthropic's Claude. Harness's AI security capabilities, including AI SAST, the Zero-Day Agent, and the Triage and Remediation Agents, integrate Anthropic's Claude models among the large language models powering the platform. As part of today's launch, customers can also integrate findings from scanning their code with Claude directly into their Harness pipeline, bringing Claude-based scanning into the same triage and remediation workflow as everything else. "Claude reasons across a codebase the way a human researcher would, tracing how a vulnerability actually behaves in context," said [First Name Last Name], [Title], Cybersecurity, Anthropic. "Feeding those findings directly into Harness's pipeline means customers get the depth of an LLM-based scan without it becoming a separate process to manage on top of everything else." Extending Harness's AI security momentum. Harness has had sustained investment in AI-driven security since its merger with Traceable in early 2025. Today's announcement continues that trajectory, following the July 21 launch of Agent DLC, which brought governance and chain of custody to AI coding agents across the software delivery lifecycle. It's also the latest step alongside new integrations with Kong and Google, extending Harness's security and governance capabilities across a wider range of infrastructure and platform partners. Taken together, these efforts point to the same conclusion: as AI reshapes both software delivery and the threats against it, security has to be built into the platform itself. Harness plans to keep extending this work as the AI models on both sides of that equation keep getting more capable. Machine Learning & Artificial Intelligence

PR Newswire
Jul 30th, 2026
Harness integrates agentic security with Google Cloud's Apigee for AI agent protection

Harness has integrated its security capabilities with Google Cloud's Apigee API management platform to help customers protect AI agents and services. The integration provides real-time discovery, runtime protection, and observability for agentic AI systems. According to Harness's 2025 report, 74% of developers view security as a barrier to AI innovation, whilst 62% of security teams say developers aren't taking responsibility for securing AI-native applications. The integration allows organisations to automatically discover and monitor AI assets, including agents, tools, and workflows traversing Apigee. It includes an AI firewall for runtime protection against threats like prompt injection and data exfiltration, plus AgentTrace for full audit trails across agent activities. The integration is now generally available to joint customers. San Francisco-based Harness is backed by Goldman Sachs, Menlo Ventures, and IVP.

CNBC
Jul 29th, 2026
Harness CEO: Agentic coding ups code volume 200% but shipped output only 10%

Harness CEO Jyoti Bansal says agentic coding complicates software shipping rather than simplifying it. Because agents are non-deterministic, testing becomes evaluation runs with unpredictable token costs, whilst security requires new guardrails — he points to the OpenAI–Hugging Face incident as an example. The company has launched Agent DLC, extending its platform to support the agents businesses develop. Industry-wide, code volume has increased approximately 200%, but shipped output has risen only 10%. Harness reports its own output is up three to four times, and the company continues to recruit staff.

PR Newswire
Jul 23rd, 2026
Harness and Kong expand partnership to deliver API and AI security for agentic era

Harness and Kong Inc. have expanded their partnership to provide comprehensive API and AI security solutions. The collaboration extends beyond their existing API Gateway integration to include Kong AI Gateway, addressing security challenges in AI-driven architectures and autonomous agents. According to a 2025 report, 62% of enterprises lack visibility into their LLM usage, whilst 74% believe AI sprawl will surpass API sprawl in terms of risk. The expanded solution offers AI discovery, automatically inventorying AI assets routed through Kong AI Gateway, and AI protection through real-time behavioural analysis to detect threats like prompt injection and data exfiltration. The integration builds on the companies' existing API security partnership, applying similar security depth to AI infrastructure. Both the API Gateway and AI Gateway integrations are now generally available to joint customers.