AI-native development jobs

Senior Technical Product Manager

CoreLogic · Posted Nov 9, 2026

Open

Irvine, California, United States
Senior
$107K–$150K per year
4–6 years

Senior Technical Product Manager

CoreLogic · Posted Nov 9, 2026

Open

Irvine, California, United States
Senior
$107K–$150K per year
4–6 years

Chief Engineer (Staff Engineer)

Morgan Pinnacle Group · Posted Nov 8, 2026

Open

San Francisco, California, United States
On-site
Full-time · Senior
$330K–$375K per year
6–14 years

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Lead and own an engineering domain end-to-end, architecting and building systems while guiding and collaborating with engineering teams and product leadership.

Compensation

Base Salary: 330,000–375,000, based on qualifications and experience. Equity: Competitive equity.

Responsibilities

Architect and build systems within the domain
Establish engineering standards and review code
Guide and unblock engineers and technical leads
Partner with product leadership to deliver measurable outcomes
Leverage AI models and development tools such as Claude Code and Cursor

Requirements

BS/MS in Computer Science or a related technical field
Nice to have: hands-on technical founder experience
Nice to have: zero-to-one product building
Nice to have: conversational AI
Nice to have: LLM agents

Skills

Node.js React Python software architecture production delivery technical leadership

Senior Engineering Manager, DC Buying

Afresh · Posted Nov 6, 2026

Open

Remote, United States +1 more
Remote
Full-time · Manager
$204K–$276K per year
8+ years

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Lead engineering for Afresh's AI-powered fresh buying product, owning end-to-end engineering, roadmap, and customer engagement.

Locations (2)

San Francisco, California, United States
United States

Compensation

Salary Band in U.S. (USD): $203,745 - $275,655 + meaningful early-stage equity + benefits

Responsibilities

Lead engineering
Hire, develop and retain a senior team of product engineers
Set the technical bar
Build strong relationships with peer engineering leaders
Own the DC Buying roadmap

Requirements

Nice to have: supply chain
Nice to have: retail
Nice to have: grocery
Nice to have: demand forecasting
Nice to have: replenishment

Skills

engineering management

Founders' Office — Special Projects (Technical)

BackOps-AI · Posted Nov 5, 2026

Open

San Francisco

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Technical builder in the Founders' Office, turning bold ideas into working prototypes and products.

Responsibilities

Prototype new bets quickly
Build AI-native prototypes using LLMs, agents, and browser automation
Create MVPs to test new products or workflows
Demo-ready builds for strategic customers
Integrate lightweight with ERPs, WMSs, TMSs, and portals

Skills

full-stack engineering production software delivery AI-native development LLM integration agentic systems browser automation customer discovery product judgment architecture decision-making codebase orientation LLMs AI coding tools

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Software Engineer

lorikeet · Posted Nov 4, 2026

Open

Sydney, New South Wales, Australia +2 more
Hybrid
Full-time · Mid
2+ years

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Building innovative AI-first product development for customer support, focusing on UI/UX, capabilities, and data models while using coding agents as a core workflow component.

Locations (3)

Sydney, New South Wales, Australia
United States
United Kingdom

Responsibilities

Take ownership of hard problems from idea to production
Work closely with coding agents as a core part of the workflow
Build tooling and feedback systems that make AI agents effective
Apply engineering judgment to determine when output is ready to ship

Requirements

Nice to have: startup experience
Nice to have: scaleup experience

Skills

Activations Manager, Startups

Vercel · Posted Nov 4, 2026

Open

San Francisco, California, United States +3 more
Hybrid
Full-time · Manager
$280K–$330K per year
5+ years

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Leader role to build and grow the Startups Activations team, helping early-stage startups make infrastructure decisions and land on Vercel through high-velocity motions.

Locations (4)

San Francisco, California, United States
New York City, New York, United States
London, London, United Kingdom
Berlin, Berlin, Germany

Compensation

The San Francisco, CA base pay range for this role is $280,000 - $330,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role.

Responsibilities

Product Lead, CodePath EDU

CodePath · Posted Nov 4, 2026

Open

Remote, United States
Remote
Full-time · Senior
$200K–$232K per year

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The Product Lead, CodePath EDU owns the products faculty and administrators use to bring AI-native software engineering to universities. The role focuses on end-to-end product ownership, institutional adoption, and scaling.

Compensation

$200,000—$232,000 USD

Responsibilities

Own the CodePath EDU product end-to-end
Talk with faculty and administrators every week, and turn what you learn into a prioritized roadmap tied to adoption, retention, and growth
Take our LMS integrations with key higher education tools like Canvas and Blackboard to maturity
Use AI across your entire workflow to compress weeks into days: prototypes, requirements, evals for the AI features you ship, and your own analysis of usage data
Partner with Higher Education Partnerships on what each campus needs to adopt, expand, and move to a deeper partnership

Requirements

Nice to have: product analytics
Nice to have: Figma
Nice to have: SQL
Nice to have: Claude Code
Nice to have: Codex

Skills

taken a product from 0 to 1 and scaled it shipped AI features to production written and shipped code regularly

Software Engineer - Applied AI

Deepgram · Posted Nov 4, 2026

Open

San Francisco, California, United States
On-site
2+ years

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Software Engineer focused on building and shipping AI-powered voice applications and services.

Responsibilities

Ship production features in live voice agent products
Own customer problems end to end
Build reusable agent modules
Improve accuracy on real-world menus and catalogs
Fine‑tune and adapt models for customer vocabularies

Requirements

Nice to have: model fine‑tuning
Nice to have: model evaluation
Nice to have: audio/speech‑to‑text
Nice to have: text‑to‑speech
Nice to have: startup engineering experience

Skills

backend services AI-native development Kotlin Python TypeScript

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Staff Software Engineer

Planet · Posted Nov 4, 2026

Open

Porto, Portugal
Hybrid
Staff

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Lead and shape engineering practices across the domain, driving stability, observability, and agentic development for Planet’s payment platform.

Responsibilities

Lead agentic development and workflow automation
Strengthen impactful work through collaboration and pairing
Shape platform evolution and incremental improvements
Maintain platform stability during incidents
Raise engineering standards and coach teams

Skills

Java object-oriented programming design patterns relational databases event-driven architectures observability incident management AI-native development agentic engineering

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Sr. Software Engineer I

Samsara · Posted Nov 3, 2026

Open

Remote, United States
Remote
Full-time · Senior
$1–$2 per year
4+ years

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Lead the design and evolution of systems that sit at the intersection of real-time data processing, AI-powered insights, and customer-facing product experiences.

Compensation

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.

Responsibilities

Own the end-to-end development of customer-facing products and platform capabilities, from design and implementation to rollout and operational excellence.
Ship new product experiences quickly, validate with customers, and iterate toward scalable, high-impact solutions.
Build AI-powered workflows and experiences using modern LLM and agentic technologies, including evaluations, feedback loops, and human-in-the-loop systems.
Collaborate across Engineering, Product, Design, ML, and platform teams to deliver cohesive experiences across web, mobile, APIs, and downstream integrations.
Lead complex technical initiatives by resolving ambiguity, driving architectural decisions, and raising the quality and scalability of the systems you own.

Skills

Go GraphQL TypeScript

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