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 Staff Software Engineer (AI) at Pendo, you will design and build AI-native systems, including RAG pipelines and LLM-powered features, while collaborating with product and design teams. Your role involves making strategic decisions on model deployment and evaluation, ensuring AI systems are production-ready, and contributing across the stack to deliver complete products. You will also provide technical leadership and influence the direction of AI initiatives within the organization.
- benefits
- 2/5
- 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.
- Demonstrated ability to set technical direction for AI systems across teams, establish architectural patterns, make foundational model strategy decisions, and raise the bar for AI engineering quality.
- Experience owning outcomes across team boundaries, including identifying capability gaps, driving alignment across engineering and product, and influencing how a broader organization approaches AI.
- 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 ability to make informed decisions about when and how to apply them.
- Production experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in live environments.
Nice to have
- Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting-based 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 product 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
- Flexible time off
Worth weighing
- Role involves high autonomy and undefined paths, which may not suit everyone.
- No specific mention of remote work flexibility beyond hybrid culture of 3 days in-office.
- Salary range provided is quite high, indicating a competitive market but also high expectations for performance.
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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