Simpplr is the AI-powered intranet for unifying the digital workplace. It brings people, trusted knowledge, apps, and agents into a coherent digital experience. Powered by a proprietary EX Knowledge Graph, Simpplr synthesizes signals and context across connected systems to deliver personalized information and actions. The platform serves as a digital hub supporting communications, engagement, employee services, and work. With low-code extensibility and enterprise-grade security and governance, Simpplr enables confident operation at scale. More than 1,000 organizations — including AAA, the NHS, Penske, and Moderna — trust Simpplr to keep their workforce informed, aligned, and productive. Learn more at simpplr.com.
We're looking for a highly skilled Senior Product Manager – Enterprise Search to join our Product Management team. In this role, you'll own the strategy, definition, and execution of enterprise search across Simpplr — powering both Magnus (our AI assistant) and the Simpplr platform. You'll shape how employees find the right knowledge, content, and answers across the entire enterprise, quickly, accurately, and securely.
Search is the connective tissue of the employee experience: it is what makes Magnus's answers trustworthy and what makes the Simpplr platform feel intelligent. You'll be responsible for the end-to-end search experience — from how content is ingested, chunked, and indexed, to how it is retrieved, ranked, and grounded into high-quality, permission-aware answers via retrieval-augmented generation (RAG).
You'll work closely with AI engineers, search/ML engineers, data scientists, designers, and cross-functional teams to deliver a search foundation that is fast, relevant, and enterprise-grade. This role requires strong technical fluency in modern search and AI concepts — indexing, chunking, embeddings, vector and hybrid retrieval, ranking, and RAG — along with the product judgment to translate them into measurable customer outcomes.
Your job responsibilities: what you will be doing- Own the roadmap for enterprise search across Magnus and the Simpplr platform, defining a clear vision for relevance, freshness, coverage, and trust — including product requirements, user stories, and success metrics for conversational (Magnus) and traditional search experiences.
- Own the strategy for unstructured and structured data ingestion, partnering with search/ML and AI engineers on parsing, chunking, and embedding pipelines that improve search relevance and retrieval accuracy.
- Drive retrieval architecture decisions — lexical, semantic/vector, hybrid retrieval, re-ranking, filtering, and permission-aware retrieval — balancing relevance, latency, and cost.
- Define how retrieved content is grounded into answers through RAG — context assembly, chunk selection, citations, and hallucination mitigation.
- Establish evaluation frameworks for search and RAG quality (golden query sets, offline/online evals, LLM-as-a-judge) and standards for reliability, latency, monitoring, and cost optimization.
- Ensure end-to-end security — permission scoping, document-level access, tenant isolation — and serve as the enterprise search SME, partnering with CS, Sales, Support, and Marketing to drive adoption.
Your skillset: what makes you a great fit for the team
- Bachelor's/advanced degree in Computer Science, Engineering, Data Science, or related field, with 5+ years of enterprise SaaS product management, including 2+ years focused on search, information retrieval, or AI/ML products.
- Deep technical fluency across the search stack: ingestion, chunking, indexing, embeddings, vector databases, and lexical/semantic/hybrid retrieval trade-offs.
- Solid grasp of LLM and RAG mechanics — context assembly, grounding, citations, and chunk selection strategies for accurate, low-hallucination answers.
- Experience building and operating evaluation frameworks and search product metrics (relevance, precision/recall, latency, adoption, business impact) to drive continuous iteration.
- Working knowledge of enterprise security and permission-aware retrieval — access controls, tenant isolation, and data governance in multi-tenant SaaS.
- Strong cross-functional collaboration and communication skills, able to translate complex search/AI concepts into scalable roadmaps for both technical and non-technical stakeholders.
- You've built or owned enterprise search, knowledge retrieval, or RAG-powered experiences within enterprise collaboration or SaaS applications.
- You have hands-on experience with search platforms and technologies — Elasticsearch/OpenSearch, Solr/Lucene, vector databases (Pinecone, Weaviate, pgvector), or managed enterprise search services.
- You've designed relevance-tuning workflows, feedback loops, or evaluation systems that continuously improve search and RAG quality in production.
- You're excited about AI-native work experiences and making enterprise knowledge instantly findable and trustworthy through assistants like Magnus.
We value the real you. To ensure a fair and authentic experience for everyone, we ask that you do not use AI tools (such as real-time answer generators, transcription apps, or note-taking bots) during your interview
Our process is designed to hear your unique story, thought process, and lived experience in real-time. Use of unauthorized AI tools may result in disqualification, as we want to ensure every candidate is evaluated on their own individual merits. We’re excited to meet the person behind the resume!
If you need assistive technology or AI tools for accessibility (e.g., live captioning), please notify your recruiter in advance. We are committed to providing an inclusive interview experience.
At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want.
- Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time.
- Hybrid - Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis.
- Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.
Skills Required
- Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or related field
- 5+ years enterprise SaaS product management experience
- 2+ years focused on search, information retrieval, or AI/ML products
- Deep technical fluency across the search stack: ingestion, chunking, indexing, embeddings, and vector databases
- Solid grasp of LLM and RAG mechanics: context assembly, grounding, citations, and chunk selection to mitigate hallucination
- Experience building and operating evaluation frameworks and search product metrics (relevance, precision/recall, latency, adoption)
- Working knowledge of enterprise security and permission-aware retrieval (access controls, tenant isolation, data governance)
- Strong cross-functional collaboration and communication skills to translate technical concepts for non-technical stakeholders
- Experience owning enterprise search, knowledge retrieval, or RAG-powered experiences in enterprise SaaS
- Hands-on experience with search platforms and vector DBs (Elasticsearch/OpenSearch, Solr/Lucene, Pinecone, Weaviate, pgvector) or managed enterprise search services
- Designed relevance-tuning workflows, feedback loops, or evaluation systems for improving search and RAG quality in production
Simpplr Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Simpplr and has not been reviewed or approved by Simpplr.
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Fair & Transparent Compensation — Pay is considered generally “okay to good,” with some roles described as above average relative to typical expectations. Sales compensation is framed as a clear strength compared with many non‑sales roles.
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Healthcare Strength — Core health coverage is described as comprehensive, including medical, dental, and vision options alongside FSA/HSA choices. Wellness and mental‑health programs are also included as part of the package.
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Leave & Time Off Breadth — Time-off offerings are described as generous, including paid holidays and an unlimited vacation approach alongside flexible/remote work. The perceived value of unlimited time off appears to depend on workload and team norms.
Simpplr Insights
What We Do
Simpplr is the leading AI-powered employee experience platform. Organizations use our forward-looking, adaptable products to deliver personalized experiences that inspire and engage their employees. Wherever people work, Simpplr enables them to flourish. Trusted by more than 700+ leading brands, including Penske, Snowflake, Moderna, Eurostar, and AAA, our customers are achieving measurable improvements in employee engagement, productivity, and accelerated business performance. Simpplr is headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, and Tola Capital. Learn more at simpplr.com.
Why Work With Us
- Simpplr named a leader in the Forrester Wave for intranet platforms - Amazing growth! We've almost doubled in the last year, meaning great opportunity for career growth - We're trusted by brands such as Eurostar, Splunk, Docusign, and Coursera
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