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Altitude Ai Jobs (NOW HIRING)

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

What Makes Someone Good at This 7+ years of engineering experience, applied at a higher altitude ... You already direct AI agents (Claude Code, Codex, Cursor, or similar) to handle implementation ...

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

Product Marketing Manager

New York, NY ยท On-site

$168K/yr

Loop deploys AI agents built by our in-house team of AI engineers, strategists and subject matter ... You hold the line between altitude-of-message and altitude-of-buyer without losing one for the ...

AI Product Engineer

San Francisco, CA ยท On-site

$150K - $250K/yr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar ... altitude of detail. * You are energized by building software experiences customers will use ...

AI Developers design and build the AI systems thatactually ship, embedded inside delivery teams ... Communicate across the altitude range. Translate model and engineering trade-offs for ...

AI Developers design and build the AI systems thatactually ship, embedded inside delivery teams ... Communicate across the altitude range. Translate model and engineering trade-offs for ...

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Altitude Ai information

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$11

$34

$68

How much do altitude ai jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for altitude ai in the United States is $34.67, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $46.63 per hour, depending on experience, location, and employer.

What is the difference between Altitude Ai vs Data Analyst?

AspectAltitude AiData Analyst
Required CredentialsTypically requires a background in AI, machine learning, or data science, often with a master's or higher degreeUsually requires a bachelor's degree in statistics, computer science, or related fields; certifications like Microsoft or SAS are common
Work EnvironmentFocuses on developing and deploying AI solutions, often in tech or AI companiesAnalyzes data to inform business decisions, working across various industries like finance, healthcare, and marketing
Employer & Industry UsagePrimarily used by AI-focused companies, startups, and tech giantsWidely used across industries including finance, healthcare, retail, and consulting firms

While Altitude Ai specializes in AI development and machine learning solutions, Data Analysts focus on interpreting data to support business strategies. Both roles require strong analytical skills, but Altitude Ai professionals typically have more technical expertise in AI technologies, whereas Data Analysts focus on data interpretation and reporting.

More about Altitude Ai jobs
What cities are hiring for Altitude Ai jobs? Cities with the most Altitude Ai job openings:
What states have the most Altitude Ai jobs? States with the most job openings for Altitude Ai jobs include:
Infographic showing various Altitude Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $72,110 per year, or $34.7 per hour.

Senior Data Scientist, AI & App Experience

Chime Financial, Inc

San Francisco, CA โ€ข Hybrid

Other

Posted 19 days ago


Job description

About the role

In this role you will define how Chime measures the experience members have in the app and the impact of its AI-powered features - and lead the strategic analyses that shape decisions made by senior leaders across the company. Chime's members interact with the app daily and increasingly through AI-driven experiences. You'll set the agenda for understanding how members engage with these experiences, what's working and what isn't, and what those signals mean for Chime's product and business - framing the questions others aren't yet asking. By driving deep dive analysis on the trends you uncover in Chime's data, you'll not only explain why engagement and experience metrics move but shape the strategy your partners pursue in response. This is a role where you'll think holistically about the Chime app and AI experience, operate as a strategic partner to leaders across the company, and still be in the data to discover the story behind the metrics.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to
  • Define and own the measurement framework for Chime's AI and App Experience metrics - the definitions, methodology, and read-outs that other analytics teams and stakeholders across product, design, engineering, and member services rely on as the source of truth.
  • Set the strategy for how Chime understands engagement, adoption, and the quality of its AI-powered features. Unlike anyone else, you will anticipate changes in how members interact with the app and AI experiences, build the understanding for why, and shape what leaders do in response.
  • Be the arbiter of truth with data. You'll raise the methodological bar for the highest-stakes analyses and define what "good" looks like for how the organization understands the way members experience the app and its AI features.
  • Partner widely and at altitude. You'll be a strategic thought partner to leaders across Product, Design, Engineering, Operations & Member Experience, and Marketing - pressure-testing what's worth doing, not just answering the questions handed to you. The stronger these partnerships, the more successful you and Chime will be.
  • Ask why a lot, and raise the bar for those around you. Your proactive inquisitiveness, supported by your data dexterity, means you lead first-of-its-kind analyses and mentor the data scientists around you to do the same.
To thrive in this role, you have
  • 5-7 years in data-focused roles, leading analyses or building data tools that shape the decisions of an executive audience and frame the trade-offs leaders weigh.
  • Deep proficiency in product and experience metrics - engagement, adoption, retention, and the leading indicators of feature quality - enough to set the narrative, not just report it. Familiarity with measuring AI/ML-powered experiences is a strong plus.
  • Extensive stakeholder management experience at the Director/VP+ altitude, and a clear Northstar for how Analytics partners with and influences product and engineering teams.
  • Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and with dexterity explore a warehouse to find data most appropriate to the problem.
  • Analytics engineering depth - you have built data models in dbt that you and others rely on, and you set standards for how the team creates durable data products.
  • Sound statistical inference skills, with the ability to communicate uncertainty appropriately to senior business partners and raise the methodological bar for others. Experience designing and interpreting experiments (A/B tests) is valued.
  • A focus on impact - you don't stop with just recommendations but ensure to see work through to changing the product, and you multiply that impact by mentoring the data scientists around you.

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