Product Engineer, New Products

We Love AI Jobs; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Wispr is looking for a Product Engineer to shape new products in New Products for Wispr Flow in San Francisco. You will explore interaction concepts, build prototypes, and work with our research team to turn promising ideas into product direction with ownership.

You will develop and test hypotheses, create model harnesses, and enhance memory and context retrieval across modalities, partnering with ML to evaluate and iterate on concepts that graduate into product areas.

Qualifications

• Prototyping and validating new interaction ideas.
• Experience with human-computer interaction concepts and evaluation.
• Working with in-house AI models and memory/context systems.
• Testing ideas with users and iterating based on feedback.

Responsibilities

• Develop hypotheses, prototypes, and experiments for new interaction concepts.
• Build model harnesses and improve memory and context retrieval for different modalities.
• Test ideas with users and collaborate with ML to advance or discard directions.
• Own the direction and implementation of validated ideas.

Skills

Prototyping

Human-computer interaction

In-house models

Memory and context retrieval

Model evaluation

User testing

Interaction design

Job description

# Product Engineer, New ProductsWispr FlowSan FranciscoFull-time$180,000 – $300,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageExplore and develop new human-computer interaction products alongside Wispr’s research team. You’ll form hypotheses, prototype and test ideas, then help turn promising concepts into product areas with clear direction and implementation ownership.* Permanent* On-site### Skills and expertisePrototypingHuman-computer interactionIn-house modelsMemory and context retrievalModel evaluationUser testingInteraction design### Key responsibilities* Develop hypotheses, prototypes, and experiments for new interaction concepts.* Build model harnesses and improve memory and context retrieval for different modalities.* Test ideas with users and partner with ML to advance or discontinue promising directions.## How this job comparesCompared with 1,047 open mid-level engineering jobs on October 10, 2026.Pay: This job pays $180K to $300K a year. The 452 open mid-level engineering jobs that publish US pay start at $138K on average, so this job starts about 30% higher.Similar open jobs: We Love AI Jobs lists 1,047 open mid-level engineering jobs at 274 companies.Remote work: This job is on site. 104 of the 1,047 mid-level engineering jobs (10%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The role builds product concepts around in-house models, memory, context retrieval, and interaction modalities. It also works directly with the ML team on product-model feedback and evaluation.## Full descriptionAbout WisprWispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.About the roleYou’ll drive the creation of new products on the frontier of HCI, in collaboration with our research team. You’ll form hypotheses, build prototypes, test them with teammates and users, discard ideas that do not work, and ultimately build evidence for how Wispr’s products should evolve. If an idea works, you’ll help turn it into a real product area and own its direction and implementation.What you’ll do• Explore areas such as: fast voice actions, computer use, novel interaction patterns• Develop hypotheses, prototypes, and experiments for your own ideas• Build and evolve a harness for in-house models around human computer interaction• Improve memory and context retrieval to support different interaction modalities• Partner with the ML team to create a bidirectional product–model feedback loop• Test, evaluate, and either graduate promising ideas into product areas or document why they should be abandoned• If a bet sticks, own its direction and implementation with increasing scopeYou may be a fit if• You have taken an ambiguous idea from hypothesis to prototype and user or internal testing.• You have explored multiple directions and killed ideas when the evidence did not support them.• Built something that changed how people interact with a computer, or demonstrated unusually strong instincts for new interaction patterns.• Worked closely with researchers or technical collaborators where product needs and model capabilities shaped each other.• Shipped a prototype or product, or can show a rigorous body of experiments and learning even when nothing graduated.• Owned meaningful product direction and implementation when an idea proved promising.• Communicated your work clearly through concrete artifacts, technical or product writing, or demos - especially in public!You do not need experience in this exact area or deep expertise across HCI, product, and ML. We care more about how quickly you learn and your judgment about what to test, when to stop, and what to pursue.Get to know us• Our operating principles• Our Series B• Advancing HCI• Introducing Wispr Advanced Interfaces LabLogisticsWe sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.