or apply directly on Pendo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Pendo's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 59% of Pendo's roles list one
- Ghost-job risk at Pendo
- high 22 stale, 2 reposted of 22 open
- Hiring momentum
- 48 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Pendo's own greenhouse board since 2026-08-03. Full hiring picture for Pendo.
About this role
As a Sr. Software Engineer (AI) at Pendo, you'll design and build applied AI systems, including RAG pipelines and LLM-powered features, from prototype to production. You'll make technical decisions, evaluate model behavior, and ensure AI systems are reliable and efficient in real-world environments. Collaboration with product and design teams is crucial to frame problems effectively before coding, and you'll also contribute across the stack to deliver complete user-facing AI products.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pendo as an employer.
What you need
- Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
- Strong technical depth in system design, including choosing the right architecture, identifying failure modes early, and making tradeoffs that hold up across the product lifecycle.
- Experience owning technical quality beyond your own features, including setting standards, catching problems in review, and improving shared infrastructure and tooling.
- Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
- Solid understanding of modern model architectures, including transformers and diffusion models, with the judgment to decide when and how to apply them.
- Production AI experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
Nice to have
- Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting approaches.
- Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
- Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
- Background in a SaaS or product analytics environment where user behavior data informs AI design.
- Prior experience contributing to or launching a net-new team or product area.
What you get
- Highly competitive, employer-heavy coverage, including $0 premium options, strong 401(k) match, equity, and flexible time off.
Worth weighing
- No salary listed in the posting, but a range is provided for the role in New York, NY.
- The role emphasizes building AI products from the ground up, which may involve ambiguity and undefined paths.
- The position requires a strong blend of technical and product judgment, which may not suit all candidates.
- The company operates with a hybrid culture, requiring in-office presence 3 days per week unless designated remote.
Summarised from Pendo's posting. Read the full original.
Listed by Pendo on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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