Lead discovery, UX prototyping, and user validation; translate concepts into React-based products; shape marketing and financial strategy, build business cases, and present recommendations to stakeholders while enabling user onboarding.
Position Overview
Blue Acorn iCi is seeking a Business Consultant Digital Experience who can move fluidly between strategy and execution—from ideation and UX prototyping to validating with real users and shipping working features alongside engineering.
Location: Hybrid - Onsite 3 days a week expected in San Jose, CA
Key ResponsibilitiesStrategy, Discovery & UX Prototyping- Lead ideation and discovery sessions to define problems worth solving.
- Build low to high fidelity UX prototypes, including wireframes and clickable mockups.
- Run validation sessions with end users, synthesize feedback, and refine designs iteratively.
- Partner with developers to translate validated concepts into a React-based web application.
- Apply marketing strategy, planning, and operational knowledge to shape product direction.
- Use financial acumen to build business cases, prioritize features by ROI, and support budget or forecasting conversations.
- Present findings and recommendations to stakeholders, including senior leadership.
- Create documentation and guides to enable user onboarding and enablement.
- 6-9 years in business consulting, product strategy, or a hybrid UX/strategy role.
- Hands-on experience with prototyping tools such as Figma or equivalent.
- Working knowledge of React or close collaboration experience with front-end teams.
- Background in marketing strategy, planning, and operations.
- Finance background, including budgeting, business case development, or financial analysis.
- Strong facilitation skills for user research and stakeholder workshops.
- Ability to communicate clearly with both technical and executive audiences.
- Prior experience with Adobe Workfront Planning or Workfront Workflow solutions is strongly preferred.
The base salary range for this position is $125,000–$175,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, software and machine learning engineers, and product managers to deliver scalable AI products. Research LLMs, optimization, fine-tuning, and agentic AI; publish findings through technical reports and conference submissions; and independently pursue impactful research agendas.
Top Skills:
Aws UltraclustersCloud ComputingCompiler DesignDeep LearningGradient CheckpointingHugging FaceLarge Language ModelsLightningModel CompressionModel SparsificationNatural Language ProcessingPyTorchQuantizationReinforcement Learning From Human FeedbackTraining Parallelism
Fintech • Machine Learning • Payments • Software • Financial Services
Conduct applied AI research and build foundation models from design through training, evaluation, validation, and production implementation. Collaborate with data scientists, engineers, and product managers to deliver AI-powered products at scale. Research emerging methods, optimize large deep learning models, translate technical findings into business outcomes, and contribute to technical reports and conference publications. The role requires advanced expertise in foundation models, deep learning, optimization, NLP, or fine-tuning.
Top Skills:
Aws UltraclustersCloud ComputingCompiler DesignDeep LearningGradient CheckpointingHugging FaceInstruction TuningLarge Language ModelsLightningModel CompressionModel SparsificationPyTorchQuantizationReinforcement Learning From Human FeedbackSelf-Supervised LearningTraining ParallelismTransfer Learning
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the strategy, vision, and product team for enterprise AI/ML platforms supporting model training, model serving, and generative or agentic AI applications. Partner with platform leaders to build integrated capabilities, improve user experiences for data scientists and developers, drive adoption, and deliver business value. The role requires technical product leadership, AI/ML expertise, cross-functional influence, and people management.
Top Skills:
Agentic AiSparkAWSGenerative AiKubernetesLangchainMachine LearningRay
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
