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About This Role
About Altruist
Altruist is transforming the multi\-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients.
We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you!
But first, our values
Kindness \- Kindness doesn’t *just* equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully.
Brilliance \- Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one.
Grit \- When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles.
About Hazel
Hazel is building the AI engine for wealth management that unlocks 10x growth, efficiency and value for financial advisors and their clients in a regulated industry. Since its launch last September, Hazel has organically and rapidly grown its user base. Hazel is a part of Altruist’s broader mission to make financial advice better, more affordable, and accessible to all.
- *This role is hybrid, with four in\-office days per week at our San Francisco FiDi location.*
The opportunity
Hazel is one of the fastest\-growing AI products in wealth management, and compounding user growth is the single biggest lever in our business. We're hiring a Growth PM to own the PLG engine end to end: how advisors discover Hazel, sign up, get to their first "wow" moment, stick around, invite their teams, pay us, and expand their usage over time.
You will be the DRI for the full user lifecycle. You'll set the growth strategy, define the metrics that matter, run a high\-velocity experiment program, and ship the loops that turn a curious advisor into a power user and a paying customer into an advocate. This is a rare chance to build the growth function from the ground up inside a category\-defining AI product, with a clear path to meaningful business impact in the first quarter.
Your impact
- Own the full PLG funnel across sign up, onboarding, activation, retention, sharing, monetization, and expansion. Define each stage, instrument it, identify the biggest leaks, and ship the experiments that move the numbers.
- Make activation a science. Define what a great first session looks like for an advisor, then design and ship the in\-product experiences that get a new user to value as fast as possible.
- Build viral and team\-based growth loops. Find the natural sharing moments, design referral and invite mechanics, and turn every paying customer into a distribution channel.
- Drive monetization. Partner with the broader product and finance teams on pricing, packaging, paywalls, and upgrade paths. Increase free\-to\-paid conversion, ARPU, and expansion revenue without compromising the user experience.
- Stand up the Hazel customer community. Build a space where paying advisors share workflows, templates, and wins. Use it as a retention moat, a feedback channel, and a top\-of\-funnel engine.
- Partner deeply across the team. Work with Sales and Marketing to sharpen segmentation, build top\-of\-funnel demand, and communicate the value prop with precision. Work with Design and Engineering to craft experiences that feel magical and remove every unnecessary barrier to adoption.
What you bring
- 10\+ years in product, with at least 3 years owning growth at a consumer or PLG product company that has scaled meaningfully. You've shipped experiments that moved real metrics and you can speak to them with specifics.
- A rigorous mind. You can take a vague business goal, decompose it into a tree of sub\-problems, identify the highest\-leverage node, and design a test that moves things forward.
- A bias to execution and velocity. You'd rather ship a directionally correct experiment this week than a perfect one next quarter. You know that the learning rate is the moat.
- Fluency with data. You can vibe code, write your own SQL, navigate PostHog without help, and build the analysis you need rather than waiting on someone else. You also have the judgment to know when the data is thin and intuition needs to lead.
- Excellent product taste and craft. You care about the details of the experience. You understand that growth and quality are not in tension when done right.
- Strong written and verbal communication. You can rally a cross\-functional team behind a strategy and a number.
Bonus points
- Experience growing a B2C or prosumer product from the early stages through significant scale.
- Experience with PLG motions inside regulated or otherwise "hard" industries (fintech, health, legal).
- Experience building or scaling a customer community as a growth and retention surface.
- Background in working closely with AI\-native products and shaping how users learn to get value from AI in\-product.
- Founder, founding PM, or first\-growth\-hire experience.
San Francisco, CA salary range
$250,000 \- $325,000 USD
What we bring
Attracting and retaining top\-tier talent is a priority. We are proud of the culture we’ve built and are cognizant of the ever\-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best.
- A hybrid work schedule for most positions to promote strong, in\-person collaboration.
- Stunning, amenity\-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity.
- Competitive pay and equity for eligible positions.
- Premium healthcare, dental, and vision insurance plans (HMO and PPO).
- 401k savings plan with a 4% match and immediate vesting.
- 16 week paid parental leave after one year of employment.
- Professional growth and development opportunities including an employee mobility program and an annual L\&D budget allocation for each employee.
- Company perks program (includes discounts on pet insurance, fitness, cell phone plans, and travel, etc.).
- Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home\-purchasing preparedness, etc.).
- One month work from anywhere policy (with the exception of a few countries).
*Total compensation includes a competitive benefits package, along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure* *fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth.*
*Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.*
Salary Context
This $250K-$325K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $191K across 155 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 3,824 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At ALTRUIST, 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 $213,800 based on 518 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($287K) sits 34% above the category median. Disclosed range: $250K to $325K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
ALTRUIST AI Hiring
ALTRUIST has 4 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer. Based in San Francisco, CA, US. Compensation range: $275K - $325K.
Location Context
AI roles in San Francisco pay a median of $253,000 across 1,990 tracked positions. That's 26% above the national 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 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 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 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). 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 (119) are outnumbered by mid-level (1,813) and senior (1,472) 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 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 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 $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. 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 $142,800. 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 (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 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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