• Design and build AI-powered agents using Salesforce AgentForce • Configure and manage: Agent Builder Topics Actions (Flow, Apex, API-based) Prompt Templates Channels & deployment configurations • Implement end-to-end agent workflows integrating Salesforce Clouds (Sales, Service, Experience, Marketing) • Develop custom Apex logic and Lightning Web Components (LWC) to extend agent capabilities • Integrate external systems via REST/SOAP APIs • Design and implement generative AI solutions using Prompt Builder and LLM integrations • Apply prompt engineering best practices for performance, tone, safety, and accuracy • Architect agentic workflows involving reasoning, multi-step task execution, and decision-making • Implement Retrieval-Augmented Generation (RAG) patterns where applicable • Ensure AI governance, security, and compliance using Salesforce Einstein Trust Layer • Optimize AI model performance and response evaluation • Define scalable AI architecture within Salesforce ecosystem • Implement data governance and security policies for AI-driven workflows • Collaborate with Solution Architects, Data Architects, and Business Stakeholders • Follow DevOps best practices using Salesforce DX, CI/CD pipelines • Conduct code reviews, testing, and performance tuning

Design and implement robust portal solutions using Liferay and Java, develop responsive front-end components, and mentor junior developers while ensuring high performance and secure coding practices in enterprise applications.

Title: Staff Software Engineer, Product Location: New York NY United States Full time Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We're not just talking about the future of work - we're building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate - the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn't for everyone. We're not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what's possible, who get bored when things feel "done," and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The Role As a Principal Software Engineer, Product, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide. You'll contribute to: - Full stack architecture, development, and optimization of features spanning backend, AI/model integration, and frontend interfaces. - Designing for scale, performance, and security in enterprise environments. - Debugging across the stack - from model behavior and backend services to UI logic and client performance. - Collaborating with product, design, and operations to deliver delightful, resilient user experiences. - Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows. What You'll Do - Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability. - Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend. - Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production. - Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery. - Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking. - Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices. What We're Looking For - Strong full stack experience: you have shipped production-grade systems involving both backend and frontend components, and you're comfortable owning APIs and user experiences end-to-end. - Technical breadth/ Engineering skills: deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue). - Frontend craftsmanship/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale. - Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large, distributed environments. - Builder at Heart: you've architected and shipped production-grade, user-facing systems. You balance polish with speed, knowing when to prioritize craftsmanship and when to push scrappy experiments to learn fast. - Versatility and pragmatism: you balance sound architectural decisions with a willingness to prototype and iterate quickly when needed. - Customer-Centered & Product-Focused: you care as much about usability, accessibility, and adoption as you do about code quality. You think beyond "does it work" to "does it work for the user, at scale, and in enterprise environments." - Startup fluent: you thrive in ambiguity, value momentum over perfection, and enjoy wearing multiple hats. What You'll Get Ownership & Rapid Growth - Outsized missions from day one, with direct responsibility for company-defining projects - Work alongside the executive team with transparency into strategy and decision-making - Influence on direction through real-time customer feedback and market insights AI-First Operator - Work directly with cutting-edge AI models and next-generation platforms - Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries - Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation - Competitive salary including base + bonuses - Comprehensive health coverage (medical, dental, vision) from day one - Generous PTO, company-wide R&R shutdowns, and paid parental leave - Retirement plan support for US and global employees Equity - Meaningful ownership in a venture-backed company at a growth inflection point - Financial upside that comes from scaling fast - Top-up grants as we scale and you deliver exceptional performance - your compensation grows alongside your impact Top-Performing Culture - A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Location and Work Environment This role can be either remote or hybrid from our offices in New York or Toronto. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.

• The services requested are for Statistical Programming for clinical trials Phase I – IV utilizing SAS (Base and Macros) and R. • Deliverables: Services rendered will adhere to applicable client SOPs, WIs, policies, local regulatory requirements, ICH-GCP, etc. • Creation of ADaM datasets based on current ADaM standards. • Creation of Tables, Listings and Figures following client specifications. • Creation of Subject Narratives following client templates to support Narrative development. • Creation of other ancillary data streams including (but not limited to) clinical registry reporting files (e.g. Clintrials.gov, EudraCT), Bioresearch monitoring reports (BIMO). • QC of all programmed output. • Creation and/or maintenance of detailed specification documentation. • Development and validation of electronic submission packages that comply with submission requirements from FDA, EMEA and other regulatory agencies as needed. • Includes support for standalone studies as well as integration of data across studies. • The service holder is responsible to design, develop and maintain SAS code that is generic and that covers many trial types, can run on many study designs and meet study specific situations based on high reliable study metadata specifying the design and study specific situations. • The service holder defines and maintains standard clinical data analysis metadata for use in clinical trials, including the traceability from Analysis Datasets and Analysis Results (ADaM) to Study Data Tabulation Datasets (SDTM). • The service holder pre-configures the standards in line with the data lifecycle plan while maintaining the traceability and lineage of the data. • The service holder documents and correctly manages the lineage between master standards and the many pre-configured standards.