{"id":203513,"url":"https://alion.io/job/uniphore-vp-product-management","title":"VP, Product Management","company":{"id":4835,"name":"Uniphore","domain":"uniphore.com","url":"https://alion.io/company/uniphore","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Product","role_family":"Product","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":286400,"max":358000,"currency":"USD","period":"year","gross":null,"usd_annual":358000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Context Engineering","optional":false},{"name":"Delta Lake","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Explainable AI","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GDPR","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-29T01:24:39Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.\nJob Description:\nJob Description: VP, Product Management\nThe Vice President of Data Productsis responsible foroverseeing the vision, strategy, and execution of the company’s data platforms. Our data platforms play multiple roles, including:\nAs internal capabilities,theypower our GenAI stack (access, transform, and supply for GenAI model training data), our CDP product and our applications\n\nAs customer-facing products, they provide Zero-ETL access to Enterprise data and a rich suite of capabilities to connect, clean, orchestrate andoperationalizedata\n\nOur Zero Data AI Cloud, positioned around the concept of being able toleverageEnterprise data more quickly and flexibly than any other approach, is anchored on this suite of data platforms that this role will inherit and expand.\nThis is theGM of the Data Product business and ensures the development and delivery of innovative data products and solutions that align with businessobjectives, enhance decision-makingand create competitive advantages.TheVPleads cross-functional teams to design, build, andmaintainscalable data products,deliver onrevenue goals, and while fostering a data-driven culture.\nKey Responsibilities\nStrategic Leadership\nDefine and execute the strategic roadmap for data platforms, aligning with the company’s business goals, financialoutcomes, andcustomer needs.\n\nDevelop and executea datareadiness strategy to support internalactivities alignedwiththewhichalign with the Engineering andAI organization'sarchitecture approaches andandsupportCustomerdiscovery and insights fromtheir’sAI goals.\n\nCollaborate with executive leadership toidentifyand prioritize data innovation, AI use cases, and monetization that require high-quality, accessible, and reliable data products.\n\nBuild and communicate a vision for how data products can deliver business value and drive growth.\n\nAI Data Readiness\nEnsure that all data platformsproviderobustcapabilities,assets are for cleaning, annotated, structured, andoptimizedfor AI and machine learning purposes.\n\nDrive the adoption of modern data management practices, including data labeling, feature engineering, and real-time data streaming for AI withinUniphoreand supporting sales during customer interactions.\n\nPartner with data scientists and engineers to define requirements andparticipatewith Engineering and Architecture teams in designing scalable AI pipelines andMLOpsworkflows.\n\nDeep LLM & Generative AI Architecture\nDeep understanding of Large Language Models (LLMs) and Generative AI architectures, including transformer-based models, embeddings, prompt/context engineering, model selection, fine-tuning, RAG, and the tradeoffs between proprietary and open-source models.\n\nAgentic AI & AI Application Architecture\nExpertisein emerging agentic AI architectures, including AI agents, tool/function calling, orchestration, memory, multi-agent systems, workflow automation, and human-in-the-loop patterns, with the ability to translate these capabilities into scalable enterprise products.\n\nAI Evaluation, Reliability & Production Optimization\nDeep understanding of evaluating and operationalizing AI/LLM systems in production, including model and application evaluation, quality measurement, latency, cost/performance optimization, observability, model drift, feedback loops, and continuous improvement.\n\nAI Safety, Security & Responsible AI\nStrong understanding of enterprise AI safety, security, and responsible AI practices, including AI governance, model risk, prompt injection, data leakage, bias, privacy, guardrails, access controls, explainability, and human oversight.\n\nProduct Management for Data Platforms\nLead the high-level design and collaborate with AI Engineering and Data Engineering Leadership, define development, and deployment of scalable requirements, user-centric dataproductsand platforms.\n\nPrioritize product features and enhancements based on customer feedback, market trends, and business needs for monetizationEnsurethe use of best practices in data science, analytics, and engineering in product design.\n\nOversee the creation and deployment of data products, including training datasets, feature stores, and synthetic data generation tools, that enable AI innovation.\n\nGTM experience working with Sales, performing competitor analysis, pricing, experience working with Product Marketing and partner teams on expanding product growth and delivering on revenue targets\n\nAbility to definea product roadmap, prioritize feature, functionality, and capabilities that are needed by customers, based on the competitive landscape, analyst reports, etc.\n\nTeam Leadership\nBuild, mentor, and lead a multidisciplinary team of product managers, data engineers, and AI specialists.\n\nFoster collaboration across engineering, design, sales, marketing, and other departments.\n\nPromote a culture of continuous learning, experimentation, and data-driven decision-making.\n\nCreate a collaborative culture that bridges data engineering, product development, and AI research teams.\n\nDevelop skill-building programs to keep the teamup-to-datewith the latest AI and data trends.\n\nTechnology & Infrastructure\nPartner with engineering teams to ensure seamless integration of data products - data lakes, warehouse, AI-specific datapipelinesexisting systems.\n\nStay informed on emerging technologies and trends in big data, AI/ML, and analytics.\n\nChampion with the products of AI-ready technologies such as automated data labeling tools, data versioning systems, and explainable AI frameworks.\n\nEvaluate and incorporate emerging technologies to enhance data readiness for AI, such as synthetic data platforms or edge AI solutions.\n\nGovernance & Compliance\nEnsure data products take into practices that adhere to global regulations (e.g., GDPR, CCPA) and ethical AI standards.\n\nProducts enforce governance policies for data quality, lineage, and versioning critical for AI integrity.\n\nCollaborate with legal and compliance teams to manage risks associated with sensitive or biased data during the product development and sales process\n\nQualifications\nEducation & Experience\nBachelor’s degree in ComputerScienceBachelor’sdegree in Computer Science, Data Science, AI, or a related field;Master’sdegree in Databases or Machine learning technology and PHD would be ideal or MBA preferred.\n\n10+ years of experience in data product management, AI, or analytics, with at least 5 years in a senior leadership role.\n\nProventrack recordof delivering successful dataproducts atscalewhich includes AI-driven data product development and readiness initiatives.\n\nTechnical Skills\nStrong understanding of data platforms, analytics tools, and machine learning technologies, including:\n\nDatabase architectures, including query systems, query optimization, querylanguagesand abstractions\n\nData storage including table formats such as Iceberg and Delta Lake, and cloud storage technologies includinghuyperscalarproducts like S3\n\nMachine Learning including basic ML algorithms, ML development lifecycle, use cases of different ML techniques in the enterprise\n\nUnderstanding of ML tools and how they are deployed in Enterprises, such as Spark, Python, Jupyter Notebook, and Gen AI tools such asPyTorch,LangChain,HuggingFace,etc\n\nDeep understanding of Enterprise Data Management, including\n\nTechnologies like Databases, MDM, ETL/Data Orchestration/Data Annotation, Data Observability,etc\n\nLogical/Physical schemas, views, replication techniques,etc\n\nArchitectures such as EDWs, Data Marts, Data Lakes /Lakehouses, ML playgrounds,etc\n\nGovernance concepts such as data security, data sovereignty, data privacy, data governance frameworks,etc\n\nDirect experience with Data Warehousing design/deployment/management in an enterprise environment a plus\n\nExpertise inproduct management frameworks and agile development methodologies.\n\nExcellent communication and stakeholder management skills.\n\nAbility to balance strategic vision with operational execution.\n\nSoft Skills\nStrong leadership and people management capabilities.\n\nInnovative mindset with a customer-centric approach.\n\nAbility to manage competing priorities in a fast-paced environment.\n\nStrategic thinker with strong problem-solving and decision-making capabilities.\n\nExcellent communication and stakeholder management skills.\n\nAbility to balance strategic vision with operational execution.\n\nKey Metrics for Success\nRevenue growth or cost savings driven by data products.\n\nProduct adoption rates and customer satisfaction scores.\n\nTime-to-market for new product features.\n\nData quality and compliance metrics.\n\nInnovation-driven differentiation versus competition\n\nThis role typically involves working in sectors where data is a critical asset, such as technology, finance, healthcare, or e-commerce. The ideal candidate combines technicalexpertisewith business acumen and visionary leadership\nWhy JoinUniphore?\nOpportunity to shape and lead global delivery at a fast-growing, AI-native company.\n\nA collaborative, innovative culture that values customer success and teamwork.\n\nCompetitive compensation, benefits, and opportunities for professional growth.\n\nHiring Pay Range:\n$286,400 - $358,000 Benefits:\nIn addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.\n Location preference:\nUSA - CA - Palo AltoUniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.\nFor more information on how Uniphore uses AI to unify-and humanize-every enterprise experience, please visit www.uniphore.com.","description_format":"text","description_chars":10414,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Conversational AI","Speech & Audio AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-05T01:22:06Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.86,"p_room":0.55,"age_days":54,"expected_fill_days":48,"reasons":["conf:3","velocity","win:tail"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":358000,"is_top_pay":true},"html_url":"https://alion.io/job/uniphore-vp-product-management","json_url":"https://alion.io/job/uniphore-vp-product-management.json","meta":{"generated_at":"2026-10-29T05:34:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8619,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4835},"rest":"https://alion.io/mcp/rest/get_company?id=4835"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funiphore-vp-product-management"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Funiphore-vp-product-management"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Funiphore-vp-product-management"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/uniphore-vp-product-management\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funiphore-vp-product-management"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":203513}},{"tool":"search_jobs","arguments":{"company":"uniphore.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":203513},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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