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About This Role
About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
- Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
- Continuous professional growth and leadership opportunities.
- Health, wellness, and financial benefits to offer peace of mind to you and your family.
- World-class facilities and the technology you need to thrive – in our offices or yours.
Job Summary
The Business Development Manager - AI Solutions serves as a strategic growth catalyst within SHI's Advanced Growth Technologies (AGT) organization, responsible for accelerating new AI business opportunities across all SHI sales motions. This role supports sales representatives by providing AI solution expertise, partner program guidance, competitive positioning, and opportunity development support while driving business growth through strategic AI initiatives, campaigns, and programs.
Working closely with AGT Go-to-Market leadership, sales teams, technology partners, and business units, the Business Development Manager identifies, qualifies, and develops new AI opportunities across Public Sector, Global, Enterprise, and Commercial organizations. The role combines partner engagement, business development strategy, AI market intelligence, and seller enablement to expand SHI's reach within the Full Stack AI ecosystem, including Applications, Models, Infrastructure, Chips, Energy, Security, and Modern Workplace solutions.
The Business Development Manager plays a critical role in targeting net-new business opportunities, improving seller readiness, supporting Executive Briefing Center (EBC) initiatives, facilitating AI account planning, and promoting successful customer outcomes through scalable win-sharing programs. By leveraging data-driven insights, strategic partnerships, and AI-focused business development activities, this role helps establish repeatable growth motions that drive pipeline creation, opportunity acceleration, and long-term business success. Role Description
- Assist sales representatives by providing AI solution support, program information, market insights, and competitive advantages for active and developing opportunities.
- Drive overall business growth for SHI's AI Solutions business through strategic programs, campaigns, target initiatives, and partner engagement activities.
- Develop and execute high-priority AI-focused business development initiatives designed to identify, engage, and convert new customer opportunities.
- Create and deliver training sessions, presentations, workshops, and account mapping exercises for customers, sales teams, and partner organizations.
- Monitor and manage AI opportunity pipelines, pursuits, and sales activities, ensuring alignment with organizational objectives and growth strategies.
- Identify and qualify high-value AI opportunities across Public Sector, Global, Enterprise, and Commercial business units.
- Build and foster strong business relationships with customers, sales teams, business unit leaders, partner organizations, and industry influencers.
- Represent SHI and strategic AI partners at customer engagements, executive briefings, conferences, industry events, and partner meetings to enhance awareness and opportunity generation.
- Educate the sales force on AI solutions, partner resources, Full Stack AI technologies, and business development best practices.
- Lead and participate in customer calls, presentations, workshops, Executive Briefing Center engagements, and discovery sessions to support new business development.
- Partner with AGT leadership and strategic technology partners to identify emerging opportunities and align growth initiatives across the AI ecosystem.
- Curate and develop partner-sourced AI opportunities spanning Applications, Models, Infrastructure, Chips, Energy, Security, and Modern Workplace solutions.
- Support AI account planning initiatives and improve seller readiness through prompt-based discovery techniques and AI-focused engagement strategies.
- Analyze business data, pipeline metrics, and market trends to identify growth opportunities, develop recommendations, and address challenges.
- Develop and publish AI success stories, customer outcomes, and win-wire communications that promote successful engagements and repeatable sales motions.
- Create and maintain training content, sales enablement tools, presentation materials, and educational resources for internal and external audiences.
- Coordinate and support strategic partner initiatives that drive awareness, engagement, and AI solution adoption across SHI's customer base.
Serve as a bridge between AGT strategy, partner ecosystems, and seller execution to support scalable growth across the Full Stack AI marketplace. *
The Business Development Manager - AI Solutions will:
- Drive net-new AI pipeline creation across all SHI business units.
- Identify and qualify high-value AI targets and pursuits.
- Expand opportunity generation through strategic prompting and tailored account planning.
- Enhance seller readiness and AI account engagement effectiveness.
- Promote successful customer outcomes through scalable win-sharing programs.
- Accelerate AI Advisor engagements and technical solution outcomes.
- Strengthen collaboration across SHI, AGT, and strategic technology partners.
Support sustainable growth and market expansion across the Full Stack AI marketplace. *
Behaviors and Competencies
- Reporting: Proactively identifies stakeholder communication needs, provides meaningful business updates, and ensures visibility into pipeline activity, partner initiatives, and growth opportunities.
- Training: Identifies learning and enablement opportunities, develops training solutions, and drives the adoption of new technologies, tools, and sales methodologies.
- Relationship Building: Establishes and nurtures strategic relationships with customers, partners, sales teams, and business stakeholders while fostering collaboration and trust.
- Problem-Solving: Identifies business challenges, analyzes root causes, recommends solutions, and takes initiative to drive successful outcomes.
- Results Orientation: Consistently delivers measurable business outcomes, maintains focus on growth objectives, and drives progress toward strategic goals.
- Analytical Thinking: Uses critical thinking and business intelligence to evaluate data, identify trends, and support informed decision-making.
- Data Analysis: Interprets sales, pipeline, partner, and market data to uncover opportunities, support strategy development, and improve performance.
- Teamwork: Collaborates effectively across cross-functional teams, contributes ideas and expertise, and supports shared organizational goals.
- Communication: Effectively communicates complex technical and business concepts to a wide range of audiences, adapting messaging to meet stakeholder needs.
Time Management: Effectively manages competing priorities, balances multiple initiatives, and consistently meets deadlines in a fast-paced environment. *
Skill Level Requirements
- Ability to effectively communicate, position, and sell complex AI technologies, business solutions, and services by understanding customer needs and articulating business value. - Intermediate
- Understanding of Information Technology products, cloud solutions, artificial intelligence technologies, and Full Stack AI architectures. - Intermediate
- Ability to examine, interpret, and model business, pipeline, and market data to support growth initiatives and strategic decision-making. - Intermediate
- Understanding of business operations, market positioning, competitive dynamics, and partner ecosystems to drive sustainable growth and opportunity development. - Intermediate
- Ability to effectively utilize Microsoft Office applications, business intelligence tools, CRM platforms, and AI-enabled technologies to improve productivity and performance. - Intermediate
- Demonstrated ability to identify, qualify, and accelerate business opportunities through structured sales motions and pipeline development activities. - Intermediate
- Understanding of ROI, TCO, TTM, and business value frameworks used to support customer decision-making and solution adoption. - Intermediate
- Ability to develop and maintain productive relationships with customers, partners, and internal stakeholders. - Intermediate
- Knowledge of AI market trends, emerging technologies, and partner-led growth strategies. - Intermediate
Experience presenting to large audiences through both in-person and web-based engagements. - Intermediate *
Other Requirements
- Completed Bachelor's Degree or equivalent relevant work experience required.
- 2-4 years of experience in business development, sales, partner management, technology solutions, or a similar role.
- Experience supporting sales organizations, pipeline development, or partner-driven growth initiatives preferred.
- Understanding of technology solutions, artificial intelligence, cloud platforms, or emerging technologies preferred.
- Ability to travel to SHI, partner, customer, and industry events.
- Ability to travel up to 15%.
- Ability to work flexible hours as business needs require.
Experience engaging with executive stakeholders, customers, and strategic partners preferred. *
The estimated annual pay range for this position is $75,000 - $130,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
Salary Context
This $75K-$130K range is in the lower quartile for AI Product Manager roles in our dataset (median: $193K across 93 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 8,943 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At SHI International, 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 $220,200 based on 862 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $193,200. This role's midpoint ($102K) sits 53% below the category median. Disclosed range: $75K to $130K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
SHI International AI Hiring
SHI International has 5 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Positions span Piscataway, NJ, US, Remote, US, Somerset, NJ, US. Compensation range: $130K - $325K.
Location Context
Across all AI roles, 6% (521 positions) offer remote work, while 8,351 require on-site attendance. Top AI hiring metros: New York (2,878 roles, $221,000 median); San Francisco (2,416 roles, $263,811 median); Los Angeles (1,340 roles, $210,000 median).
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 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 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 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). 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 (175) are outnumbered by mid-level (4,132) and senior (3,268) 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 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 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 $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. 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 $253,100 median, while Prompt Engineer roles sit at $141,440. 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 (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 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.
Frequently Asked Questions
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