Sr. Fullstack Product Engineer - (Frontend Focus)

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Salt Ai·USA·6 авг.

Sr. Fullstack Product Engineer - (Frontend Focus)

от 15 000 $

на 550% выше медианы рынка

≈ от 1,3 млн ₽

🌍 УдалённоSeniorПолная занятость🌐 Глобал

Навык востребован (python).

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Наша компания

Based in Southern California, Salt AI is pioneering the future of life sciences with advanced AI. Founded in 2024 by Aber Whitcomb and Jim Benedetto—veterans of MySpace, Jam City, Gravity, and Core Scientific—our leadership team brings over 18 years of collaboration. We’re not just building products, but transforming what’s possible in research and discovery. We value diverse perspectives and are committed to an inclusive team. If you’re excited about shaping the future of AI in life sciences and beyond, we'd love to connect with you.

Чем предстоит заниматься

This is a fullstack product engineering role for someone who likes deep systems, clean abstractions, and product surfaces that make hard infrastructure feel usable

You will work across the platform layer and the application layer: workflow execution, agent orchestration, pipeline-as-tool contracts, customer data access, retrieval, permissions, observability, and the UI surfaces that expose those capabilities to real users. Some weeks the important work will be a React interface that makes a complex decision legible. Some weeks it will be shaping the API and event contract behind that interface. Some weeks it will be digging through backend behavior to understand why the customer experience does not feel right yet

The through-line is platform leverage plus customer experience: building product surfaces that make Salt more trustworthy, more composable, easier for customers to understand, and dramatically better to use

We are an AI-first engineering team building AI tools for modern, forward-thinking companies. That does not mean accepting AI-generated slop at higher velocity. It means using AI to increase your leverage while keeping your standards intact. The right person can use agents, code generation, and modern tooling aggressively without surrendering authorship, judgment, or accountability

AI should make you faster, not less discerning. We are hiring engineers whose taste survives contact with AI-generated code

We are closer to Linear than to a traditional enterprise software team in how we think about quality. Craft is not a decorative layer, and it is not limited to visual polish. Quality is the whole customer experience

Наши требования

Strong frontend and product craft. You are credible in React, TypeScript, interaction design, design systems, animation, state management, responsive UI, and customer-facing product quality

Fullstack production range. You are comfortable enough with Python/Django, APIs, backend services, data models, jobs, and platform constraints to shape the systems behind the interface, not merely consume them

High agency and high standards. You do not wait for a perfect spec. You clarify the problem, find the constraint, make progress, and raise the quality bar as you go

Product and design taste. You can tell when a complex workflow is technically correct but still confusing, brittle, ugly, or hard to trust. You care about making advanced software feel legible, fast, and empowering

Platform instincts. You think in contracts, interfaces, failure modes, permissions, observability, and lifecycle. You know how backend decisions shape the user’s experience

Good taste in abstraction. You do not over-framework the first version, but you can see when repeated customer work wants to become a platform capability

AI-first engineering habits. You use tools like Claude Code, Cursor, Codex, or similar systems to move faster and think at a higher level. You still understand the code you ship, review generated work carefully, and know when to slow down

Judgment in spite of AI. You can deliver high-quality software even when AI tools are eager to generate too much code, plausible abstractions, brittle tests, or shallow solutions

Customer empathy. You can talk to scientists, data teams, operators, and enterprise stakeholders, then translate messy real-world needs into durable product decisions

Clear communication. You can write down the shape of a problem, explain tradeoffs, and help the team make better decisions without turning everything into a meeting

High-craft product experiences. Create beautiful, deeply usable interfaces for complex workflows: design systems, motion, dense information displays, stateful tools, and interaction patterns customers can trust

Agentic customer surfaces. Build experiences where users can run, guide, inspect, approve, and recover AI workflows without losing trust in what the system is doing

Human-in-the-loop systems. Create interaction patterns for approvals, parameter review, result inspection, exception handling, and other moments where users need to make load-bearing decisions

Workflow and execution UI. Make distributed AI workflows understandable: what ran, what changed, what failed, why it failed, and what the user or system can do next

Design systems and product coherence. Help Salt feel like one product instead of disconnected surfaces. Build reusable components, interaction patterns, and state models that scale

Fullstack product surfaces. Work across React, TypeScript, APIs, backend services, and platform contracts to configure, run, inspect, debug, and reuse AI workflows

Retrieval and customer data experiences. Build interfaces for permission-aware search, indexed customer data, result inspection, citations, confidence, and trust

Platform abstraction through UX. Turn complex backend capabilities into product primitives customers and internal teams can safely build on

This is not a pure frontend role. The right person can move through the stack, find the real constraint, and leave the customer experience better shaped than they found it

A short note about why this role specifically. Not a generic cover letter

A description of where you are strongest across frontend/product experience and where you still feel comfortable across the rest of the stack

Your GitHub, portfolio, writing, shipped UI examples, technical design docs, or a representative sample of work you are proud of

One example of a platform, workflow, developer tool, data product, or user-facing system you shipped where the architecture, abstraction, or customer experience judgment mattered. Tell us what you would do differently now

One example of how you use AI in your engineering work. We are especially interested in where you overrode, constrained, rejected, or improved the AI’s output

We will read everything. We will respond to everyone, including no’s

Мы предлагаем

Competitive salary and equity package

100% Employee Covered Medical, Dental, Vision Plan Base Plans (PPO & HMO)

Life Insurance, 401k, Flexible Spending Accounts, & More

Fully Remote - Required to work during US-based time frames

How to Apply

Дополнительно

You know what good looks like. You can tell when a workflow is technically correct but still wrong: too vague, too slow, too brittle, too noisy, too ugly, too hard to trust, or too poorly fit to the customer’s real problem

You care about the feeling of rightness. You notice naming, hierarchy, density, empty states, logs, permissions, latency, copy, transitions, API shape, loading behavior, failure modes, and the small frictions that make complex software feel either elegant or exhausting

You use AI without outsourcing judgment. You can delegate work to agents, but you still define the problem, set review criteria, constrain the implementation, verify the behavior, and decide whether the result is good enough to ship

You build with customers close by. You are comfortable using real customer workflows, support threads, calls, prototypes, and internal dogfooding to understand what the product needs to become

You keep the team small by raising the bar. We would rather have a few engineers with strong taste, high agency, and deep ownership than a larger team producing more undifferentiated software

You do not ship half-baked experiences to customers. Early prototypes are useful. Internal dogfooding is useful. Customer co-creation is useful. But the public product should feel cared for

You have built design-heavy enterprise SaaS, workflow tools, developer tools, data products, internal tools, agent systems, or complex customer-facing products used by technical customers

You like the space between product UX and backend architecture

You have opinions about UI states, motion, density, information hierarchy, API shape, execution semantics, logs, and permissions because you have seen what happens when those things are treated as afterthoughts

You can show how AI has made you faster without making your work worse

You can point to places where you rejected, rewrote, constrained, or heavily edited generated code because your judgment was better than the tool’s first answer

You have pulled something back from release because it technically worked but did not yet meet the quality bar

You are comfortable with ambiguity, but you do not confuse ambiguity with vagueness. You ask the questions that make the work concrete

You care about regulated, high-trust AI because it is harder and more useful than another thin wrapper around a chat box

You Are Probably Not a Fit If

Being direct about this saves everyone time

You want a narrow frontend-only, design-only, backend-only, ML-only, or infrastructure-only role

You need detailed tickets before you can make progress

You are looking for a large team with mature process, fixed swimlanes, and lots of scaffolding

You are comfortable shipping AI-generated code you do not fully understand

You think “AI-native” means letting an agent produce thousands of lines of code and asking reviewers to find the problems later

You see backend architecture, reliability, product judgment, design, or customer context as someone else’s job

You ship something once and move on before it has proven itself in production

Small team, high ownership. We are early enough that a strong engineer can meaningfully change the shape of the product

AI tooling is part of the job. We expect high leverage from modern engineering tools, and we expect the judgment to keep that leverage from turning into drift. Everyone here uses AI; the differentiator is whether it makes your work better

Customer reality matters. You will be close to real customer problems, especially in life sciences and other regulated environments

Cross-functional by default. Product, design, engineering, customer feedback, and delivery are tightly connected here. Engineers are expected to think, not just execute

Low bureaucracy. We value clear writing, direct conversation, working software, and people who make the system easier for others to reason about

Технологии и навыки

Salt Ai

USA

ГрейдSenior

ЗанятостьПолная занятость

РегионСША

ФорматУдалённо

ИсточникСкрыто

Опубликовано6 авг.

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Sr. Fullstack Product Engineer - (Frontend Focus)

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