Pendo.io AI Jobs - 3 Open Positions

Pendo.io is actively hiring for 3 AI and machine learning positions, primarily in AI Software Engineer (3) roles. Positions are based in New York, NY. Senior-level roles account for 66% of openings.

Locations

AI company intelligence showing hiring activity and compensation

New York, NY

Open Positions (3)

AI Software Engineer

What Pendo.io's hiring tells you

With 3 active AI role(s), this company is in the early exploration phase. That can mean either a pilot project being staffed up or a small embedded AI function inside a larger team. Worth investigating directly: ask the recruiter how the AI work is funded and who it reports to. Compensation is not disclosed in postings, which is increasingly out of step with how AI talent expects to be hired.

Questions worth asking in the Pendo.io interview loop

The signals above come from public job postings. The signals you actually need come from the conversation. A few questions calibrated to this company's tier:

Is this AI work funded for at least 18 months, or is it tied to a specific project deadline?
Will I be the only person doing this, or are there others I will collaborate with day to day?
What does success look like at six months? At eighteen months?

Pendo.io AI and ML Hiring

Pendo.io has 3 active AI and ML roles in our dataset. They're focused on AI Software Engineer hiring. Roles are based in New York, NY.

Salary Benchmarks

The market median for AI roles is $213,380. AI Software Engineer roles pay a median of $220,000 across the market. Top-quartile AI compensation starts at $264,148.

Skills in Demand

Full-stack engineering skills with AI integration experience. Python and TypeScript are the most common requirements. You'll need to understand API design, database architecture, and how to build reliable systems around probabilistic outputs. Experience with streaming, async processing, and caching patterns is increasingly important as real-time AI applications proliferate.

Knowledge of vector databases, embedding APIs, and LLM integration patterns (function calling, structured outputs, retry logic) differentiates AI software engineers from general software engineers. Understanding cost optimization (caching strategies, model routing, batched inference) is valuable since inference costs can dominate application economics.

Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

AI Role Categories

AI Software Engineer

AI Software Engineers build the applications and systems that AI models run inside. They own the API layers, data pipelines, frontend integrations, and infrastructure that turn a model into a product users interact with. Every AI company needs engineers who can build the software around the AI.

Market compensation for AI Software Engineer roles: $220,000 median across 1,448 positions with disclosed pay.

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.

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 Software Engineer roles are among the most numerous in the AI job market. Every company deploying AI needs software engineers who understand AI integration patterns. The demand is broad, spanning startups to enterprises, across every industry adopting AI capabilities.

What to Expect in Interviews

Technical screens look like standard software engineering interviews with an AI twist. Expect system design questions about building reliable applications around probabilistic models: handling streaming responses, implementing retry logic for API failures, and designing caching strategies for LLM outputs. Coding rounds test standard algorithms plus practical integration patterns like async processing and rate limiting.

When evaluating opportunities: Strong postings describe the product you'll be building, the AI integration patterns you'll work with, and the scale requirements. Look for companies that have existing AI features and need engineers to improve and expand them, not companies that are 'planning to add AI' someday.

Career Path

Common paths into AI Software Engineer roles include Software Engineer, Full-Stack Developer, Backend Engineer.

From here, career progression typically leads toward Staff Engineer, AI Architect, Engineering Manager.

If you're a software engineer, you're already 80% there. Learn the AI integration patterns: RAG, streaming inference, function calling, structured outputs. Build a project that demonstrates you can wrap an AI model in a production-quality application with proper error handling, caching, and user experience. That's the portfolio piece that gets you hired.

Skills in Demand for This Role

Python (16% of roles) Aws (9% of roles) Azure (7% of roles) Rag (6% of roles) Gcp (5% of roles) Pytorch (5% of roles) Claude (4% of roles) Kubernetes (4% of roles)

Frequently Asked Questions

Pendo.io currently has 3 open AI positions across roles including AI Software Engineer. The most common positions involve applied machine learning, model development, and AI infrastructure. Check the job listings above for the latest openings and requirements.

Pendo.io's AI positions are based in New York, NY. Location requirements vary by team and role. Some positions may offer hybrid arrangements even if listed as on-site. Check individual job listings for the most current location and remote work policies.

Frequently Asked Questions

Pendo.io currently has 3 open AI and ML roles. This count updates with each site rebuild as we track new postings and remove filled positions.

Pendo.io hires across several AI disciplines including AI Software Engineer. The mix of roles reflects the company's investment in building AI capabilities across their product and infrastructure.

Pendo.io's AI roles are based in New York, NY. Location requirements vary by role.

We're tracking 8,943 AI roles across the market. Pendo.io's 3 open positions place them among the actively hiring companies in the space.