{"data":{"company":{"name":"Kensho","slug":"kensho","logo_url":"https://logos.yubhub.co/kensho.com.png","canonical_domain":"kensho.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":5,"categories":[{"category":"engineering","count":4},{"category":"sales","count":1}],"experience_levels":[{"level":"senior","count":4},{"level":"mid","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":1}],"top_titles":[{"title":"Senior Full-Stack Software Engineer","count":1},{"title":"Senior Backend Engineer","count":1},{"title":"MLOps Engineer","count":1},{"title":"Machine Learning Engineer","count":1},{"title":"AI Specialist","count":1}],"locations":[{"location":"cambridge, ma","count":3},{"location":"cambridge","count":2}],"skills":[{"skill":"AWS","required":3,"preferred":0,"total":3},{"skill":"Python","required":3,"preferred":0,"total":3},{"skill":"Large Language Models","required":2,"preferred":0,"total":2},{"skill":"Natural Language Processing","required":2,"preferred":0,"total":2},{"skill":"Amazon EKS","required":2,"preferred":0,"total":2},{"skill":"Sentry","required":2,"preferred":0,"total":2},{"skill":"Prometheus","required":2,"preferred":0,"total":2},{"skill":"Git","required":2,"preferred":0,"total":2},{"skill":"Kubernetes","required":1,"preferred":0,"total":1},{"skill":"Distributed Computing Frameworks","required":1,"preferred":0,"total":1},{"skill":"Workflow Orchestration","required":1,"preferred":0,"total":1},{"skill":"Software Engineering Best Practices","required":1,"preferred":0,"total":1},{"skill":"ML Concepts","required":1,"preferred":0,"total":1},{"skill":"Agents","required":1,"preferred":0,"total":1},{"skill":"Debugging Distributed Systems","required":1,"preferred":0,"total":1},{"skill":"Communication Skills","required":1,"preferred":0,"total":1},{"skill":"Agentic AI Systems","required":0,"preferred":1,"total":1},{"skill":"MCP Server Patterns","required":0,"preferred":1,"total":1},{"skill":"Eval Pipelines","required":0,"preferred":1,"total":1},{"skill":"PyTorch","required":1,"preferred":0,"total":1}],"salary_stats":{"count":5,"min":130000,"q1":160000,"median":160000,"q3":187500,"max":187500},"job_types":[{"type":"full-time","count":5}],"latest_jobs":[{"id":"job_86b2bc58-33e","title":"MLOps Engineer","source_url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/ML-Ops-Engineer-II_330647-1","location":"Cambridge, MA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Kensho is seeking an MLOps Engineer to join their team. As an MLOps Engineer, you will be responsible for building and supporting a mature ML platform, empowering ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.</p>\n<p>You will work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions. You will also evaluate, select, and champion open-source and third-party solutions, driving their adoption across teams and integrating into Kensho&#39;s existing platform ecosystem.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Iterating on Kensho&#39;s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.</li>\n<li>Working closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.</li>\n<li>Empowering engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products.</li>\n<li>Evaluating, selecting, and championing open-source and third-party solutions, driving their adoption across teams and integrating into Kensho&#39;s existing platform ecosystem.</li>\n<li>Shipping scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents.</li>\n<li>Improving LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay, and drift issues.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>1+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset.</li>\n<li>Experience with Kubernetes.</li>\n<li>Cloud Platform (AWS) understanding.</li>\n<li>Python proficiency.</li>\n<li>Familiarity with distributed computing frameworks and workflow orchestration.</li>\n<li>Familiarity with software engineering best practices in an ML context.</li>\n<li>Some basic understanding of ML concepts, LLMs, and agents.</li>\n<li>Ability to debug distributed systems across infrastructure, networking, and application layers.</li>\n<li>Excellent communication skills.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with agentic AI systems, tools, frameworks, and workflows.</li>\n<li>MCP server patterns.</li>\n<li>Eval pipelines.</li>\n</ul>\n<p>Kensho offers a range of benefits, including:</p>\n<ul>\n<li>Medical, Dental, and Vision insurance.</li>\n<li>100% company-paid premiums.</li>\n<li>Unlimited Paid Time Off.</li>\n<li>26 weeks of 100% paid Parental Leave.</li>\n<li>401(k) plan with 6% employer matching.</li>\n<li>Generous company matching on donations to non-profit charities.</li>\n<li>Up to $20,000 tuition assistance toward degree programs.</li>\n<li>Plentiful snacks, drinks, and regularly catered lunches.</li>\n<li>Dog-friendly office.</li>\n<li>Bike sharing program memberships.</li>\n<li>Compassion leave and elder care leave.</li>\n<li>Mentoring and additional learning opportunities.</li>\n</ul>","enriched_at":1794138183894},{"id":"job_a1ed2614-ef4","title":"Senior Full-Stack Software Engineer","source_url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/Senior-Full-Stack-Software-Engineer_324984-1","location":"Cambridge, MA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Kensho is seeking a Senior Full-Stack Software Engineer to build AI-centric web applications in TypeScript, ranging from experimental POCs to full-fledged product offerings.</p>\n<p>As a Senior Full-Stack Software Engineer, you will have significant autonomy over technical and architectural choices and be responsible for managing short- and long-term trade-offs. You will collaborate across all aspects of the software development lifecycle, working closely with the App Experiences team, Product and Design teams to understand user needs and deliver valuable and intuitive end-user experiences.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build full-stack and SPA TypeScript applications ranging from experiments to flagship products</li>\n<li>Collaborate on product decisions and communicate technical constraints and considerations</li>\n<li>Own and collaborate on technology/architecture decisions and conventions</li>\n<li>Teach and learn from the team and the broader organization via mentorship, code review, knowledge sharing, etc.</li>\n<li>Self-sufficiently manage project priorities, estimates, and deliverables</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>At least five years of direct experience building commercial web applications in JavaScript/TypeScript</li>\n<li>At least three years of that experience working directly on web UIs in a modern framework</li>\n<li>At least one domain of deep technical expertise (e.g., web performance, design systems, framework knowledge, etc.)</li>\n<li>Product sense, or a strong interest in developing it</li>\n<li>Kind, thoughtful, and high-signal communication skills for both technical and non-technical audiences</li>\n<li>Ability to translate ambiguous needs and constraints into clear technical requirements</li>\n</ul>\n<p><strong>Technologies &amp; Tools We Use:</strong></p>\n<ul>\n<li>Development: TypeScript, React, Next.js, Tailwind, LangGraph, AI SDK, Drizzle</li>\n<li>Ops: Git, GitHub, Amazon EKS, AWS, Sentry, Langfuse, Prometheus</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Medical, Dental, and Vision insurance</li>\n<li>100% company-paid premiums</li>\n<li>Unlimited Paid Time Off</li>\n<li>26 weeks of 100% paid Parental Leave (paternity and maternity)</li>\n<li>401(k) plan with 6% employer matching</li>\n<li>Generous company matching on donations to non-profit charities</li>\n<li>Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences</li>\n<li>Plentiful snacks, drinks, and regularly catered lunches</li>\n<li>Dog-friendly office (CAM office)</li>\n<li>Bike sharing program memberships</li>\n<li>Compassion leave and elder care leave</li>\n<li>Mentoring and additional learning opportunities</li>\n<li>Opportunity to expand professional network and participate in conferences and events</li>\n</ul>","enriched_at":1793858799996},{"id":"job_1ebd88c6-7fa","title":"AI Specialist","source_url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/AI-Product-Specialist_327223-1","location":"Cambridge","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Sales","description":"<p>Kensho is seeking an AI Specialist to help define and execute strategies that drive market expansion, revenue growth, and adoption of AI products. The successful candidate will leverage their skills and understanding of Kensho&#39;s value proposition to spearhead the go-to-market strategy for AI-powered data solutions.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Develop and deliver compelling technical and business cases to engage decision-makers on new products, features, and innovations</li>\n<li>Assess product readiness for market launch and guide necessary improvements or adjustments</li>\n<li>Provide strategic market feedback to Kensho Strategy and Product teams</li>\n<li>Grow and manage a robust customer pipeline for AI-ready solutions</li>\n<li>Identify opportunities for Kensho Labs Team by facilitating design workshops with high-value clients</li>\n<li>Build alliances with S&amp;P Global customers through close collaboration with the Chief Client Office and commercial teams</li>\n<li>Drive co-development partnerships and ensure products go to market with SME testing</li>\n<li>Conduct market analysis to uncover new verticals, regions, and customer segments</li>\n<li>Deliver high-impact product demos for high-value customers</li>\n<li>Lead technical deep-dive sessions with potential partners and customers</li>\n<li>Represent Kensho at industry conferences and events</li>\n<li>Develop market entry strategies for new segments and geographies</li>\n<li>Own and drive strategic market positioning by identifying key differentiators</li>\n</ul>\n<p><strong>What You&#39;ll Bring:</strong></p>\n<ul>\n<li>3+ years&#39; proven experience in a customer-facing role with a focus on AI or data-driven solutions</li>\n<li>Experience qualifying and selling B2B software, data, or other technology products</li>\n<li>Subject-matter expertise with content feeds, metadata, and assorted document and data delivery types</li>\n<li>A strategic, analytical approach to assessing markets combined with creative, tactical execution</li>\n<li>Effective communication skills working with internal colleagues and external vendor contacts</li>\n<li>Collaborative and cooperative attitude with sales and marketing teammates</li>\n<li>Goal-oriented and self-motivated with a passion for Artificial Intelligence</li>\n<li>Experience working with globally distributed teams and partners in different time zones</li>\n<li>Strong analytical skills with the ability to translate data into actionable insights</li>\n<li>A passion for and/or experience with advanced AI systems</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Medical, Dental, and Vision insurance</li>\n<li>100% company-paid premiums</li>\n<li>Unlimited Paid Time Off</li>\n<li>26 weeks of 100% paid Parental Leave</li>\n<li>401(k) plan with 6% employer matching</li>\n<li>Generous company matching on donations to non-profit charities</li>\n<li>Up to $20,000 tuition assistance toward degree programs</li>\n<li>Plentiful snacks, drinks, and regularly catered lunches</li>\n<li>Dog-friendly office</li>\n<li>Bike sharing program memberships</li>\n<li>Compassion leave and elder care leave</li>\n<li>Mentoring and additional learning opportunities</li>\n</ul>","enriched_at":1793784125098},{"id":"job_3fc05bc7-567","title":"Machine Learning Engineer","source_url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/New-York-NY/Machine-Learning-Engineer-II_330645","location":"Cambridge","job_type":"full-time","experience_level":"mid","work_arrangement":null,"category":"Engineering","description":"<p>Kensho is seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking.</p>\n<p>The DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents</li>\n<li>Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques</li>\n<li>Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses</li>\n<li>Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG</li>\n<li>Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives</li>\n<li>Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree or higher in Computer Science, Engineering, or a related field</li>\n<li>3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing</li>\n<li>Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace</li>\n<li>Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration</li>\n<li>Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation</li>\n<li>Experience working with vector databases and understanding of similarity search techniques and vector indexing algorithms</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Medical, Dental, and Vision insurance</li>\n<li>100% company paid premiums</li>\n<li>Unlimited Paid Time Off</li>\n<li>26 weeks of 100% paid Parental Leave</li>\n<li>401(k) plan with 6% employer matching</li>\n<li>Generous company matching on donations to non-profit charities</li>\n<li>Up to $20,000 tuition assistance toward degree programs</li>\n<li>Plentiful snacks, drinks, and regularly catered lunches</li>\n<li>Dog-friendly office</li>\n<li>Bike sharing program memberships</li>\n<li>Compassion leave and elder care leave</li>\n<li>Mentoring and additional learning opportunities</li>\n</ul>","enriched_at":1793784011378},{"id":"job_b802504b-82c","title":"Senior Backend Engineer","source_url":"https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/Senior-Software-Engineer_327222-1","location":"Cambridge, MA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>Kensho, S&amp;P Global&#39;s hub for AI innovation and transformation, is seeking a Senior Backend Engineer. You will develop reliable, secure, and performant APIs that apply Kensho&#39;s AI capabilities to specific customer workflows. The anticipated base salary range for this position is $150k-$225k per year, plus an annual incentive bonus and equity plans.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, develop, test, document, deploy, maintain, and improve software</li>\n<li>Manage individual project priorities, deadlines, and deliverables</li>\n<li>Collaborate with stakeholders to develop system architectures, API specifications, and implementation requirements</li>\n<li>Test assumptions through instrumentation and prototyping</li>\n<li>Promote ongoing technical development through code reviews, knowledge sharing, and mentorship</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>At least five years of direct experience developing customer-facing APIs within a team</li>\n<li>Thoughtful and efficient communication skills (verbal and written)</li>\n<li>Experience developing RESTful APIs using various tools</li>\n<li>Experience turning abstract business requirements into concrete technical plans</li>\n<li>Sound reasoning about the behavior and performance of loosely-coupled systems</li>\n<li>Proficiency with algorithms, data structures, and software architecture</li>\n<li>At least one domain of demonstrable technical depth</li>\n</ul>\n<p><strong>Technologies &amp; Tools:</strong></p>\n<ul>\n<li>Development: Python, Flask, FastAPI, Django REST Framework, PostgreSQL, Celery, RabbitMQ, Redis, Kafka, Jsonnet</li>\n<li>Operations: AWS, Amazon EKS, Sentry, Prometheus, Git, Jenkins, Github Actions</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Medical, Dental, and Vision insurance</li>\n<li>100% company-paid premiums</li>\n<li>Unlimited Paid Time Off</li>\n<li>26 weeks of 100% paid Parental Leave</li>\n<li>401(k) plan with 6% employer matching</li>\n<li>Generous company matching on donations to non-profit charities</li>\n<li>Up to $20,000 tuition assistance</li>\n<li>Plentiful snacks, drinks, and regularly catered lunches</li>\n<li>Dog-friendly office</li>\n<li>Bike sharing program memberships</li>\n<li>Compassion leave and elder care leave</li>\n<li>Mentoring and additional learning opportunities</li>\n</ul>","enriched_at":1793713125659}],"category_normalised":[{"category":"engineering","count":4},{"category":"sales","count":1}],"velocity":{"weeks":[{"week_start":"2026-11-02","count":5}],"trend":"stable","wow_pct":0},"momentum":{"recent_14d":5,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":160000,"industry_median":null,"percentile":null,"sample_size":5,"by_region":[{"region":"United Kingdom","company_median":160000,"industry_median":null,"sample":5}],"transparency_pct":100,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":5,"industry_total":5,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.331,"skill_weighted_score":0,"top_exposed_titles":[],"top_exposed_skills":[]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United Kingdom","count":5,"share_pct":100}],"emerging":[{"region":"United Kingdom","recent_30d":5,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":0}}}}