Interested in this AI Product Manager role at The Arc Nature Coast?
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About Us
The Arc Nature Coast is a mission-driven nonprofit dedicated to providing individually-tailored quality supports and advocacy for persons with intellectual and developmental disabilities and their families. We believe strong community partnerships and sustainable fundraising are essential to advancing our work and expanding our impact.
Position Summary
The Development, Marketing and Fundraising Coordinator leads and implements fundraising strategies to support the organization’s programs and long-term sustainability. This role is responsible for donor cultivation and stewardship, grant development, special events and supporting a culture of philanthropy across the organization.
Key Responsibilities
*Fundraising & Development*
- Plan and execute annual fundraising strategies to meet revenue goals
- Cultivate, solicit and steward individual donors, foundations and corporate partners
- Manage donor communications, acknowledgments and stewardship activities
- Maintain accurate donor records and reports in the donor database
*Marketing & Social Media*
- Develop and implement marketing and communication strategies to increase awareness of the organization’s mission, programs, and impact
- Manage the organization’s social media presence across platforms (e.g., Facebook, Instagram, LinkedIn)
- Create and schedule engaging content including stories, photos, videos and impact highlights
- Coordinate messaging for fundraising campaigns, events and donor communications
- Support brand consistency across digital, print and outreach materials
- Track engagement metrics and adjust strategies to improve reach and effectiveness
*Grants & Institutional Giving*
- Research funding opportunities aligned with organizational priorities
- Write and submit grant proposals and reports in collaboration with grant writer, leadership and program staff
*Events & Campaigns*
- Coordinate fundraising events and campaigns, including logistics and donor engagement
- Support board members and leadership in fundraising and donor outreach efforts
*Communications & Collaboration*
- Work closely with the Chief Executive Officer, Board of Directors and program staff to align marketing and fundraising efforts
- Assist with development-related communications including appeals, newsletters and impact updates
Employee Qualifications
- Bachelor’s degree or equivalent experience in nonprofit development, communications or a related field
- 2–5+ years of fundraising or development experience preferred
- Proven success in donor engagement, grants or fundraising campaigns
- Strong writing, organizational and relationship-building skills
- Ability to work independently while collaborating across teams
- Passion for the mission of The Arc Nature Coast
- Must possess a valid Florida driver license in good standing
- Must pass Level II, State and Local Background Screenings, Drug Test and Motor Vehicle Record Check. For more information on Federal (Level 2) Background Screenings, visit the Care Provider Background Screening Clearinghouse Education and Awareness website at https://info.flclearinghouse.com
Preferred Skills
- Experience with donor management systems (CRM)
- Knowledge of nonprofit fundraising best practices
- Event planning or campaign management experience
The Arc Nature Coast, Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. The Arc Nature Coast, Inc. is a Drug-Free Workplace.
Compensation & Benefits
This is a part-time position with the potential for going full-time in the future
Salary range: Hourly and commensurate with experience
Benefits may include: Part-time Employees – Paid training; Employee Assistance Program; Self-Pay Dental, Vision, Accident & Critical Illness Insurance; flexible part-time schedule; professional development. Full-time employees are also eligible for 401(k); Health, Life & Disability Insurance; Paid Time Off.
How to Apply
Please submit a resume and cover letter outlining your interest and relevant experience to:
klong@tancinc.org
EOE/Drug-Free/Tobacco-Free Workplace
Job Type: Part-time
Pay: From $17.00 per hour
Benefits:
- Dental insurance
- Disability insurance
- Employee assistance program
- Vision insurance
Education:
- Bachelor's (Preferred)
Work Location: In person
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 37,339 AI roles we're tracking, AI Product Manager positions make up 2% of the market. At The Arc Nature Coast, 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 $205,900 based on 289 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
The Arc Nature Coast AI Hiring
The Arc Nature Coast has 1 open AI role right now. They're hiring across AI Product Manager. Based in Spring Hill, FL, US.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 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 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 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 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). 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 (3,672) are outnumbered by mid-level (23,272) and senior (7,048) 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 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 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 $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. 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: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 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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