AI-Native development jobs

AI Native Senior Software Engineer

Versaterm · Posted Nov 9, 2026

Open

Remote, Canada
Remote
Full-time · Senior
CA$140K–CA$170K per year
6+ years

AI Native Senior Software Engineer

Versaterm · Posted Nov 9, 2026

Open

Remote, Canada
Remote
Full-time · Senior
CA$140K–CA$170K per year
6+ years

Senior Technical Product Manager

CoreLogic · Posted Nov 9, 2026

Open

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

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Lead technical product execution for native application development across cloud data platforms including Snowflake and Databricks while advancing AI-native development practices.

Compensation

Annual Pay Range: 107,200 - 150,000 USD

Responsibilities

Own and continuously improve the Jira backlog, translating business objectives into clear epics, user stories, acceptance criteria, and actionable technical requirements.
Drive roadmap planning and execution for native application development across Snowflake and Databricks environments.
Partner with Product Managers and engineering teams to align technical execution with product priorities and customer needs.
Lead work from discovery and planning through delivery and production rollout, managing priorities, dependencies, risks, and release readiness.
Champion strong Technical Product Management practices across backlog refinement, sprint planning, roadmap management, and stakeholder coordination.

Requirements

Bachelor's degree or equivalent practical experience
Nice to have: Snowflake
Nice to have: Databricks
Nice to have: Python
Nice to have: SQL

Skills

Agile software development backlog management

Senior Technical Product Manager

CoreLogic · Posted Nov 9, 2026

Open

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

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Lead technical product execution for native application development across cloud data platforms including Snowflake and Databricks while advancing AI-native development practices.

Compensation

Annual Pay Range: 107,200 - 150,000 USD

Responsibilities

Own and continuously improve the Jira backlog, translating business objectives into clear epics, user stories, acceptance criteria, and actionable technical requirements.
Drive roadmap planning and execution for native application development across Snowflake and Databricks environments.
Partner with Product Managers and engineering teams to align technical execution with product priorities and customer needs.
Lead work from discovery and planning through delivery and production rollout, managing priorities, dependencies, risks, and release readiness.
Champion strong Technical Product Management practices across backlog refinement, sprint planning, roadmap management, and stakeholder coordination.

Requirements

Bachelor's degree
Nice to have: Experience with Snowflake
Nice to have: Experience with Databricks
Nice to have: Familiarity with Python
Nice to have: Familiarity with SQL

Skills

Agile software development

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

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

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