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About Crescendo
Crescendo is transforming customer experience with AI\-powered support and customer operations solutions that combine advanced AI agents with human expertise. Leading enterprises trust Crescendo to improve customer satisfaction, increase efficiency, and drive measurable business outcomes. We're investing heavily in building a world\-class inbound growth engine that increases awareness, generates demand, and establishes Crescendo as a category leader across both traditional and AI\-powered discovery channels.
The Opportunity
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We are seeking a hands\-on AI Product Manager to build the product foundation where AI agents and human teams work seamlessly together to deliver superior customer outcomes. In this role, you will take ownership of core platform capabilities end\-to\-end—from customer discovery and hands\-on AI prototyping to product launch, evaluation, and continuous optimization. You will bridge cutting\-edge LLMs and agentic workflows with enterprise needs, defining how the future of AI\-driven customer experience software operates in production.
*This is a fully remote role where you'll work together with cross\-functional teams across the globe.*
What You'll Own
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- Product Strategy \& Roadmap: Own the strategy and execution for key areas of Crescendo's customer experience platform, aligning product plans with measurable quality and business outcomes.
- Hands\-on AI Prototyping \& Quality: Use modern AI tools to prototype agent workflows, refine prompt structures, and establish robust evaluation frameworks, guardrails, and telemetry for production quality.
- Human\-AI Collaboration Systems: Design the balance between automation and human oversight, including escalation paths, workspace tools, auditability, and safety controls.
- Customer Discovery \& Feedback Loops: Spend dedicated time with enterprise clients to understand constraints, translate user feedback into actionable requirements, and drive feature adoption.
- Cross\-Functional Execution: Partner across Engineering, Forward Deployed Experts, and Leadership to align technical architecture, streamline product launches, and navigate cross\-team dependencies.
What We Are Looking For
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- 4\+ years of Product Management experience shipping technical enterprise software, developer platforms, or complex workflow automation products.
- Hands\-on experience building with AI, including direct exposure to Large Language Models (LLMs), agentic workflows, multi\-step orchestration, or tool integration.
- Startup Agility \& Ownership: Proven ability to manage your own work autonomously, navigate organizational ambiguity, and lead zero\-to\-one product initiatives in fast\-paced environments.
- Technical Acumen: Comfortable diving into technical details with engineering teams, including APIs, data models, retrieval, tool usage, and evaluation systems.
- Builder Mindset: Direct experience using AI coding, prototyping, and modern developer tools to build working proofs of concept and validate product ideas quickly.
- Customer\-Centric Instincts: Strong track record of converting complex enterprise customer problems into clear, scalable product requirements and intuitive workflows.
### Preferred
- Prior experience in Conversational AI, Customer Support, Contact Center Software, or omnichannel CX platforms.
- Hands\-on familiarity with simulation engines, AI observability systems, or controlled feature releases for probabilistic software.
- Experience building enterprise integrations, multi\-tenant architectures, or security and governance features.
- Prior history thriving in an early\-stage or high\-growth startup environment where speed and execution matter daily.
Who You Are
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You are an autonomous, hands\-on product leader who excels at turning rapid advances in AI into reliable enterprise products. You pair sharp technical fluency and prototyping skills with the organizational maturity to navigate cross\-functional complexities and drive consensus across diverse teams.
What You'll Get In Return
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- Category\-Defining Impact: Ground\-floor opportunity to shape how enterprise customer experience is rebuilt around AI agents and human expertise.
- Competitive Total Compensation: Base salary range of $150,000 – $250,000, quarterly performance bonus, and meaningful equity options.
- High\-Agency Environment: A culture built for builders, offering total ownership over high\-visibility AI products with fast execution feedback loops and minimal bureaucracy.
Company Culture Is At Our Core
Core values give our work intention and our culture its edge. They’re the standards we hold for ourselves, our partners, and each other.
- Care for others: Empathy is a key driver. When people thrive, so does the mission.
- Embrace growth: Curiosity fuels progress. Take bold risks, sharpen your edge, go forward.
- Manifest trust: Trust is our currency. Earn it daily, protect it fiercely, and let it fuel what’s next.
- Take ownership: Bold choices with integrity at the core—that’s how impact lasts.
- Be humble: Humility opens the door to better ideas. Hear others, lift others, keep learning.
Crescendo is proud to be an equal\-opportunity workplace. We value diversity, inclusion, equity, and belonging and these pillars are at the heart of how we work together. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, or any other applicable legally protected characteristics in the location in which the candidate is applying. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We are committed to the inclusion of all individuals and will make reasonable accommodations for qualified individuals with disabilities in our job application process. If you require assistance or accommodations to participate in the job application or interview process, please contact [email protected].
PRIVACY NOTICE
Crescendo is committed to ensuring your privacy and the protection of your personal data. By filling out the forms associated with your job application and submitting your data to us, you are giving us your consent to process your data and store it for potential recruitment and hiring purposes.
To understand more about Crescendo’s privacy program, including your rights and options for managing the personal data you submit to us, please visit our Privacy Center here.
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Salary Context
This $150K-$250K range is above 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 Crescendo.ai, 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 in Demand for This Role
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. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($200K) sits 8% below the category median. Disclosed range: $150K to $250K.
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.
Crescendo.ai AI Hiring
Crescendo.ai has 1 open AI role right now. They're hiring across AI Product Manager. Based in Remote, US. Compensation range: $250K - $250K.
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.
Frequently Asked Questions
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