--- title: 'Technical Product Manager (CN) at Alpha Life Sciences' canonical: 'https://feeny.ai/job/technical-product-manager-cn-alpha-life-sciences-shanghai-vxj77xan3agz' type: 'job' last_seen: '2026-09-10' --- # Technical Product Manager (CN) at Alpha Life Sciences - **Company:** Alpha Life Sciences - **Location:** Shanghai, China - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-22 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/alphalifesci/67d9ff10-76c3-46f3-9eeb-41c6ef176571 ## Job description ## About the job ## About Us In 2020, a group of senior technology and product experts from Google and Verily China decided to delve into the intelligent digitalization of life science clinical research. Their findings resulted in AlphaLife Sciences, a pioneer in the fusion of life sciences and AI computer science as an AI-enabled integrated clinical research platform. Our flagship product, AuroraPrime, integrates Generative AI and Large Language Models (LLMs) into a powerful AI-driven SaaS platform. Trusted by global top MNCs, our innovations accelerate drug development and market entry. We are committed to globalizing AuroraPrime to enhance clinical trials and real-world research by leveraging cutting-edge AI, cloud computing, and big data. We help our clients achieve clinical operational efficiency, automate processes, and make smarter decisions to get their products to market faster. We are proud partners with Microsoft's Pegasus Program, Google for Startups, and Johnson & Johnson Innovation JLABS, delivering cutting-edge solutions like Generative AI-Copiloted Medical Writing, Intelligent EDC and Data Management, and Agile Trial Management. Position Overview Responsible for developing and scaling AI-powered clinical use cases by leveraging generative AI and large language model (LLM) technologies. This role focuses on building practical application-layer AI solutions to optimize industry workflows, generate actionable insights, and drive innovation in the life sciences sector. ## Key Responsibilities - Stay current with the latest developments in LLM technologies and apply relevant advancements to product development. - Drive product features from concept through delivery, including requirements gathering, specification writing, and quality validation. - Contribute to product roadmap decisions and manage priorities within assigned product areas. - Develop detailed product requirements and specifications based on agile practices and industry standards. - Collaborate with pharmaceutical clients in the US and Europe, clinical teams, industry experts, and AI/ML specialists to identify workflow challenges and improvement opportunities. - Independently conduct user interviews and market research to uncover customer needs and product opportunities. - Work closely with engineering, QA, and cross-functional teams to ensure high-quality product delivery. - Coordinate release cycles and development sprints to deliver valuable product enhancements at the right time. ## Qualifications - Bachelor’s degree or above; a background in computer science or a related field is preferred. - At least 5 years of experience in technical product management, product management, or a related role. - Ability to collaborate across time zones with customers and teams in the US and Europe. - Excellent written and verbal communication skills in both English and Chinese; fluency in spoken English and the ability to use English as a working language are required. - Proven ability to independently conduct user interviews and research, and accurately identify customer needs and product opportunities. - Strong motivation to solve complex business problems and build simple, scalable solutions. - Self-driven and able to deliver effectively in a fast-paced and constantly evolving environment. ## Preferred Qualifications - Experience in the pharmaceutical, biotechnology, or clinical research industries. - Familiarity with life sciences regulatory standards, such as FDA and ICH guidelines. - Proficiency with project and product management tools such as Jira and Confluence. - Familiarity with generative AI workflows, including prompt engineering, model evaluation, and AI-assisted product capabilities. - Experience designing and developing AI-powered products, particularly applications involving large language models. - A proven track record and established methodology in product strategy, product development processes, and execution. AlphaLife Sciences is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. If you require a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please notify our recruiters at any stage of the process. Please note: Applicants must be authorized to work in the United States without the need for current or future visa sponsorship. At this time, AlphaLife Sciences is unable to sponsor visas for applicants. ## About Alpha Life Sciences ## Company Overview - **One-liner**: AlphaLife Sciences provides an AI-powered document authoring platform for regulated pharmaceutical R&D, accelerating regulatory submissions from IND through NDA, BLA, and MAA. - **Entity Type**: Private / Early Stage (backed by Google for Startups, NVIDIA Inception, and J&J JLABS) - **Headquarters**: Iselin, New Jersey, USA (with additional offices in Singapore and Shanghai) - **Founded**: 2020 - **Founders**: Sharon Chen (CEO) and Gavin Zhang (Co-Founder & Chief Business Officer) ## Core Business - **Primary industry**: Life Sciences / Pharma R&D Technology – AI-driven regulatory and medical writing software. - **Target customers**: B2B – heavily regulated pharmaceutical, biotech, and contract research organizations; especially regulatory affairs, medical writing, and clinical R&D teams. - **Mission statement**: “To automate life-science content authoring and insight generation with AI, enabling biopharma teams to achieve greater efficiency, quality, and compliance.” ## Products & Services - **AuroraPrime RMA (Regulatory Medical Authoring)**: SaaS platform for drafting, reviewing, and managing regulatory documents across the full drug development lifecycle. Covers pre-clinical, clinical, CMC, safety, labeling, and post-market documents. Integrates with Microsoft Word 365 and Veeva Vault RIM. - **AuroraPrime DocMind**: AI-powered content insights and knowledge management tool (mentioned on the website as a product line). - **AuroraPrime Expert**: Managed authoring services that combine the platform with senior regulatory/medical writing expertise for time-critical submissions. - **Enterprise AI Platform**: Composable architecture allowing pharma IT to build, scale, and orchestrate custom AI content and data solutions. ## Market Standing - **Valuation / Funding**: Not publicly disclosed. The company is part of Google for Startups, NVIDIA Inception, and J&J JLABS innovation programs. (No specific funding round amounts found.) - **Key Metric**: Trusted and adopted by more than half of the top 20 global pharmaceutical companies. Reported ROI of 92–317%. - **Notable Investors / Partners**: - **Strategic Partners**: Microsoft (Azure), NVIDIA, Veeva, Johnson & Johnson (JLABS). - **Investment**: Backed by Google for Startups; no specific VC funding amounts confirmed. - **Growth Signals**: - 40% year-over-year headcount growth (LinkedIn, 26 employees as of mid-2026). - LinkedIn followers grew 456% in the past year (18,283 followers). - Job postings increased 66.7% year-over-year (5 active roles as of mid-2026). - Global team spans USA, China, Singapore, UK, and Spain. ## Competitive Advantages - **Purpose-built for pharma**: Unlike generic AI tools, the platform is designed specifically for 21 CFR Part 11, GxP, HIPAA, GDPR, SOC 2 Type II, ISO 9001, and ISO 27001 compliance. - **RAG (Retrieval-Augmented Generation) architecture**: Drafts are grounded in the customer’s own verified regulatory documents, reducing hallucination risk. - **Human-in-the-loop AI**: Medical writers remain in control throughout authoring and review, ensuring scientific accuracy and audit readiness. - **Integration ecosystem**: Native integrations with Veeva Vault and Microsoft 365, plus a composable platform for pharma IT customization. - **Team pedigree**: Over 80% of engineers come from Google, Microsoft, and Medidata; key leaders include former Google R&D directors and Verily executives. ## Strategic Focus - Deepening the Veeva and Microsoft Azure partnerships to enable fully AI-orchestrated regulatory authoring and QC. - Expanding coverage across the entire drug development lifecycle (IND → NDA/BLA/MAA). - Scaling the platform globally, with recent hires in EU sales and product roles. - Continuous investment in compliance certifications and fraud‑safe AI pipelines. ## Why Work Here - **Culture**: Hybrid workplace (typically 3 days on-site). Mission-driven environment focused on improving global drug development speed and accessibility. - **Engineering focus**: Heavy emphasis on AI, cloud infrastructure (Azure), and compliance tooling. Opportunity to work with ex-Google and ex-Medidata colleagues. - **Growth stage**: Rapidly growing (40% YoY headcount, job postings up 67% YoY) with a lean but expanding team (26 employees globally). Early‑stage enough to have meaningful impact. - **Perks**: Not detailed, but as a venture‑backed startup typical benefits likely include equity, flexible PTO, and remote/hybrid flexibility. - **Current openings** (as of mid-2026): AI Software Engineer Lead, AI Product Manager, Account Executive (EU), Sales Operations & Compliance Manager. ## Sources 1. [AlphaLife Sciences Official Site – Homepage](https://alphalifesci.com/) 2. [AlphaLife Sciences – About & Leadership](https://alphalifesci.com/about-company) 3. [AlphaLife Sciences – Veeva Partnership Announcement](https://alphalifesci.com/news/alphalife-sciences-and-veeva-finalize-strategic-product-partnership) 4. [AlphaLife Sciences – Veeva RIM Integration](https://alphalifesci.com/news/alphalife-sciences-announces-veeva-rim-integration-to-power-ai-orchestrated-authoring-and-qc) 5. [AlphaLife Sciences LinkedIn Profile](https://www.linkedin.com/company/alphalife-sciences) 6. 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