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About This Role
SENIOR MANAGER, PROFESSIONAL SERVICES \- CUSTOM DEVELOPMENT \& AI
US REMOTE
EGNYTE YOUR CAREER. SPARK YOUR PASSION.
Egnyte is a place where we spark opportunities for amazing people. We believe that every role has a great impact, and every Egnyter should be respected. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:
- Invested Relationships
- Fiscal Prudence
- Candid Conversations
ABOUT EGNYTE
Egnyte is the secure multi\-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 23,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.
Our Global Technology Solutions team is looking for a Senior Manager, Professional Services \- Custom Development \& AI who will lead two high\-impact practices within Egnyte’s Professional Services organization. As a player\-coach you would be responsible for building and leading a team of technical consultants and AI specialists who design and deliver custom solutions that accelerate customer onboarding, deepen platform adoption, and unlock the full power of Egnyte’s APIs and AI capabilities.
On the Custom Development side, the team builds integrations, automation scripts, and front\-end solutions leveraging Egnyte’s APIs, Python, React, and third\-party platforms. On the AI side, the team helps customers harness agentic AI, MCP integrations, and custom prompt engineering to transform their workflows. The ideal candidate is a hands\-on technical leader who can deliver alongside the team while driving strategic direction, customer relationships, and be able to lead the team in a fast\-evolving platform landscape.
WHAT YOU’LL DO:
- Lead, mentor, and grow a team of custom development and AI consultants, acting as a player\-coach who contributes directly to key projects.
- Own the delivery, and quality of the Custom Development and AI technical practices, overseeing bespoke integrations, scripting, and solutions built on Egnyte’s APIs, Python, and React. In addition, guiding customers on MCP server integrations, agentic AI architecture, and custom prompt design to maximize business value from Egnyte’s AI capabilities.
- Engage directly with customers during pre\-sales architecture reviews and throughout the engagement lifecycle to understand requirements and shape solution designs.
- Stay current with the rapidly evolving AI landscape that includes foundation models, agentic frameworks, and emerging MCP standards. Translate that knowledge into actionable guidance for customers and for the team.
- Collaborate with Egnyte Sales, Product, and Customer Success teams to identify expansion opportunities, provide technical expertise, and ensure customer value realization.
- Establish and document best practices, delivery frameworks, and reusable solution patterns for both the Custom Development and AI Technical practices.
- Assess and advise customers on architecture patterns that best complement Egnyte’s platform.
- Track team performance, manage resource planning, and ensure projects are delivered on time and to a high standard of quality.
YOUR QUALIFICATIONS:
- 10\+ years of overall experience, with at least 5 years in a customer\-facing Technology Consulting or Professional Services role.
- 3\+ years of hands\-on experience with state\-of\-the\-art AI technologies, including large language models, agentic AI frameworks, and prompt engineering methodologies.
- Demonstrated expertise with MCP (Model Context Protocol) integrations and agentic AI architectures; ability to advise customers and build working solutions in this space.
- Proficiency in Python and React for building custom integrations, automation scripts, and lightweight front\-end solutions leveraging REST APIs.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and modern SaaS integration patterns; cloud certifications are a plus.
- Proven people management experience, with the ability to hire, develop, and retain a high\-performing technical team while staying hands\-on as a practitioner.
- Strong understanding of data privacy, security, and governance considerations as they apply to AI and custom development solutions in enterprise environments.
- Demonstrated experience engaging large enterprise customers as well as mid\-market and SMB accounts; industry experience in AEC, Life Sciences/Biotech, or FinTech is a plus.
- Excellent communicator with the ability to translate complex technical concepts for business stakeholders and to build trust with senior customer decision\-makers.
- Record of consistently meeting delivery objectives and expanding customer relationships at high\-growth technology companies.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
COMPENSATION:
Our compensation reflects the cost of labor across multiple U.S. geographic locations and pay varies based on defined markets. The standard base pay range for this position across the U.S. is $150k to $175k annually. Pay varies by work location and may also be dependent on job\-related skills, knowledge, and/or experience. During the interview and/or hiring process, your recruiter can share more information about the compensation package specific to the role and job location.
BENEFITS:
- Competitive salaries and comprehensive benefits
- Company equity depending on role and level
- Flexible hours and generous time off (RTO, Responsible Time Off) to help support your work\-life balance.
- Paid holidays and sick time
- 401(k) with company match
- Health Savings Account (HSA) with a generous employer contribution and Flexible Spending Account (FSA) options
- Up to 12wks of paid Parental and 10wks Adoption Leave to help you grow your family
- Modern and collaborative offices located in Draper, UT; Raleigh, NC; Mountain View, CA; Reading, England, and Poznan, Poland
- Gym, cell phone, and internet reimbursement
- Free well\-being apps such as Spring Health for Guardian are offered, as well access to our Employee Assistance Program (EAP)
- Perks include discounted pet insurance, electronics, theme park tickets, travel, plus more
- Your own Egnyte account with lifetime access
- HealthJoy – a benefits navigation app that lets you access your benefits and get answers to your questions all in one place
- One Medical virtual care, providing you with healthcare access across the country
Equal Employment Opportunity
Egnyte, Inc. is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy\-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Egnyte, Inc.'s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs, and general treatment during employment.
At Egnyte, we embrace our unique differences and thrive on the individuality of our employees, our products, our customers, our investors, and our communities. Our global Egnyte Employee Communities (EECs) support representation and foster connectedness across our varied workplace. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher\-performing company and a great place to be.
Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of [email protected]. Egnyte, Inc. will not allow any form of retaliation against employees who raise issues of equal employment opportunity. If employees feel they have been subjected to any such retaliation, they should contact [email protected]. To ensure the workplace is free of artificial barriers, violation of this policy including any improper retaliatory conduct will lead to discipline, up to and including discharge. All employees must cooperate with all investigations conducted pursuant to this policy.
Salary Context
This $150K-$175K range is below the median for AI Product Manager roles in our dataset (median: $185K across 167 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Egnyte, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($162K) sits 25% below the category median. Disclosed range: $150K to $175K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Egnyte AI Hiring
Egnyte has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $175K - $175K.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
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