Jobs in the United States

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Added 4 mins ago
Product Security Engineer - Team Lead
Meta
Jefferson City, MO
Product Security Engineer - Team Lead Responsibilities:
Added 5 mins ago
Instrumentation & Controls Engineer SME – Hyperscale Data Centers
Jacobs
St. Louis, MO · Kansas City, MO
…define the next generation of high-performance data center infrastructure. Your guidance will shape both design delivery and our Design-Build delivery methodology across a fast-growing…
Added 7 mins ago
Senior AI Quality & Evaluation Engineer
Solvd
Remote, United States
- Ability to work in AWS - invoking Bedrock and OpenSearch APIs, reading CloudWatch, deploying a scheduled job with infrastructure code.
Added 7 mins ago
Senior Data Engineer - Knowledge Ingestion
Solvd
Remote, United States
- Infrastructure-as-code experience with Terraform or AWS CDK and CI for pipeline deployment into a client-owned account.
Added 7 mins ago
Senior Data Engineer - Retrieval & RAG Platform
Solvd
Remote, United States
- Stand up the Bedrock Knowledge Base and OpenSearch Serverless vector collection in the client’s account from infrastructure code, with the embedding model, chunking strategy, and metadata…
Added 11 mins ago
Senior AI Engineer, AI Safety
NVIDIA Corporation
Remote, United States
They must have the grit to overcome complex technical challenges and transform innovative safety concepts from raw ideas to scalable implementations
Added 17 mins ago
Product Security Engineer - Team Lead
Meta
Honolulu, HI
Product Security Engineer - Team Lead Responsibilities:
Added 18 mins ago
M
Principal Software Engineer, AI Infra Management and Ops
Microsoft
United States
- $142,800 to $274,800 USD / year
As a Principal Software Engineer, you will lead the design and evolution of cloud-native platforms, distributed systems, and infrastructure services that support service lifecycle…
Added 18 mins ago
M
Principal Design Verification Engineer (Design or DV)
Microsoft
CA · WA · NC · Mountain View, CA · Redmond, WA · Raleigh, NC · Mountain View · Redmond · Raleigh
- $142,800 to $304,200 USD / year
Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200…
Added 22 mins ago
Product Security Engineer - Team Lead
Meta
Bismarck, ND
Product Security Engineer - Team Lead Responsibilities:
Added 30 mins ago
Mission Assurance Engineer, OPS - Millennium Space Systems
The Boeing Company
Colorado Springs, CO
This position's internal job code is Systems Engineer. Our team is currently hiring for a Level 3 and 4.
Added 31 mins ago
M
Senior Software Engineer
Microsoft
United States
- $119,800 to $261,000 USD / year
As a Senior Software Engineer, you will design and build distributed services for deployment orchestration and Armada platform capabilities. You will own features from design and…
Added 31 mins ago
M
Senior Software Engineer, Full Stack
Microsoft
WA · Redmond, WA · Redmond
- $119,800 to $261,000 USD / year
Raise the engineering bar. Lead design and code reviews, mentor engineers, and improve shared libraries, developer tooling, and test infrastructure. Partner with product management to…
Added 40 mins ago
J
Staff Software Engineer (SRE)
Jobgether
Remote, United States
- $200,000 to $250,000 USD / year
The Staff Software Engineer (SRE) will play a key role in building and scaling the infrastructure behind a global financial technology platform serving millions of users. This position…
Added 40 mins ago
Sr. IT Systems Engineer
Jobgether
Remote, United States
The Sr. IT Systems Engineer will shape and scale the identity, endpoint, and SaaS infrastructure supporting a global, remote-first workforce. This role combines hands-on technical…
Added 40 mins ago
J
Senior Engineer, Cyber Engineering
Jobgether
Remote, United States
- $160,000 to $175,000 USD / year
We are seeking a highly skilled Senior Engineer, Cyber Engineering to design, develop, and operate scalable security infrastructure across enterprise, cloud, network, and endpoint…
Added 1 hour ago
Associate and Mid-Level Software Engineers
The Boeing Company
Berkeley, MO
…environments on-premises and on cloud platforms (Azure, AWS) using Infrastructure as Code (IaC) tools such as Terraform and…
Added 1 hour ago
J
Senior Software Development Engineer, Backend
Jobgether
Remote, United States
- $156,200 to $262,600 USD / year
The Senior Software Development Engineer will help shape and build a modern internal cloud platform that enables engineering teams to provision and manage infrastructure through reliable,…
Added 1 hour ago
Manager, Inspection & Monitoring
Jobgether
Remote, United States
This is an opportunity to influence critical infrastructure safety while driving sustainable business growth and engineering excellence.
Added 1 hour ago
J
Global Director, Compensation
Jobgether
Remote, United States
- $156,200 to $262,600 USD / year
The Senior Software Development Engineer will help shape and build a modern internal cloud platform that enables engineering teams to provision and manage infrastructure through reliable,…
Added 1 hour ago
IG
RCDD Project Engineer
Insight Global
Brownsville, TX
- From $54 USD / hour
5+ years of experience working on large, active construction sites (data centers, mission critical facilities, industrial facilities, hospitals, telecom infrastructure)
Added 1 hour ago
AI Finops Development Engineer
Charles Schwab
Southlake, TX
Experience with modern software delivery practices, including source control, CI/CD, automated testing, infrastructure as code, observability, and production support.
Added 1 hour ago
Principal Software Engineer (Platform Team)
SpaceX
Bastrop, TX · Starbase, TX
The Platform Team builds the foundational tooling and security infrastructure that empowers every team at SpaceX to harness AI effectively. This team creates secure, scalable gateways and…
Added 1 hour ago
Software Engineer (Platform Team)
SpaceX
Starbase, TX · Bastrop, TX
The Platform Team is responsible for building the foundational tooling and security infrastructure that empowers every team at SpaceX to harness AI effectively. This team creates secure,…
Added 1 hour ago
Principal Site Reliability Engineer (Vehicle Engineering)
SpaceX
Bastrop, TX
We are looking for a Principal Site Reliability Engineer who wants to own everything from Linux machines and our Infrastructure as Code, storage, and user facing applications – the whole…

Closed listing

Snowplow

Principal AI Platform Engineer, Applied AI

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

About Snowplow

Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.

More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.

This Opportunity

Snowplow is rebuilding how the company runs its own work, and the Applied AI team owns Firn, the single data and AI platform the whole company runs on. Firn already gives people and agents the same governed tools over our Snowflake warehouse through an MCP gateway, routes every model call through one LLM gateway with tracing, runs agentic workflows on a factory framework with a ledger that records every run, and holds the skills catalog the company draws on. Most of the company uses it every day. The platform is at its beginning, and the next stage is to expand it until it holds the company's commercial intelligence and lets agents act on it safely.

You are the principal engineer who leads that expansion. The first engagement is Go-to-Market, full time for about six months. Our buyers research with AI agents now, and reaching them means using our own data and AI to decide which accounts and people to engage, with what, and learning from every experiment. The GTM teams have built a lot: daily account and engagement scoring, signal feeds from Apollo, Vector and reo.dev, an always-on outbound engine, a paid-media loop, a curated GTM knowledge base, and the integrations between them. Much of it was built by operational teams to get results fast, and it did. You design how those services come onto Firn, unify and modernize them, build the agents and tools and learning loops on top, and make the whole thing production grade.

This is a principal role. You report to the Senior Director of Applied AI, who still ships code, and work as a peer. Marketing, Sales, Account Management and Partnerships are the platform's customers and set their own priorities. You decide how it gets built and whether it is sound. Once the GTM services run without you, they stay yours as their owner and most of your time goes to what Snowplow needs next.

What you will own

The GTM intelligence engine on Firn. The data and AI that decide who we engage and with what, and that learn from the outcome of every action. You design it with our data engineers as a set of platform services with several internal customers, and you bring the GTM services that exist today onto the same foundation.
Agents and tools. The agents that run GTM work and the tools people and other agents call, built on the factory framework with review steps and evaluations as the standard shape, so every agent on the platform can be trusted and inspected the same way.
Platform architecture. The MCP gateway, LLM gateway, tracing, factory framework and ledger, and how they grow to hold more of the company's work. You decide what is built, what is bought, and what is retired.
Production grade. Version control, CI, alerting and recovery, cost visibility, documentation, and handover for every service on the platform, including the ones that arrive from operational teams. You set the bar and you make it visible to the teams that depend on it.
Logic as code. Rules that today live inside individual tools move into versioned code on the platform, where agents can read them and engineers can test them, and the tools become endpoints the platform drives.
Learning loops. Every action the platform takes is recorded and tied to its outcome, so people and agents can see what worked and the next action is better. Metric definitions sit with our data engineers; the instrumentation that applies them is yours.
Eval and tracing infrastructure. The harness the embedded and forward deployed engineers use to prove their agents work. You own the tooling; they own the checks.
The technical bar and the roadmap. You set the engineering bar for the Applied AI team and own the platform roadmap, and you keep the long view of the platform at all times.

We would love to hear from you if you have

Years of production software behind you. You have designed, shipped and run systems other teams depend on, in Python or TypeScript, with SQL, CI/CD and cloud infrastructure as everyday tools. This is a principal role and the bar is set there.
Built LLM systems that real work runs on. Agents with tools, MCP servers, gateways, tracing and evaluation, and the failure modes that come with them. You can say what broke in production and what you changed.
Platform instincts. You have built systems other people depend on, whether internal teams or customers, through interfaces you designed, and you know the difference between a platform and a pile of integrations.
Data platform fluency. Snowflake or an equivalent warehouse, dbt, data contracts, and the pipelines that move warehouse data into SaaS tools and back.
Operational discipline. Alerting, recovery, runbooks and cost tracking are things you add before anyone asks, and you have run systems where that discipline mattered.
Judgment about where an agent belongs. You can tell which decisions should be deterministic code, which an agent can make, and which should stay with a person, and you can explain the reasoning to a non-engineer.
An AI-native way of working you can show us. A workflow, agent or tool you built and still use. Expect to demonstrate it during the interview process.
Comfort with internal customers who are not engineers. You can sit with a growth director, a seller or a marketer, take a requirement, and hold the line on how it gets built. No sales or marketing background is needed.
Technical direction without a title. You have set direction for a platform that other engineers followed because the design was right, not because they reported to you.

How we hire for this role

The interview process includes a working session where you walk us through how you work with AI on a real task, using your own setup, and a design conversation on a system we run today. We work this way ourselves, and you are welcome to use AI when applying.

What you get in return for being awesome

Meaningful equity stake
Competitive Base Salary
Flexible working
Generous PTO
Medical, Dental & Vision Insurance
401k
MacBook and home office equipment allowance
Enhanced Family leave

About employer

More about this job

Skills

Industrial software
Python
TypeScript
SQL
CI/CD
Snowflake
dbt
Workflow
Sales

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Work requirements

Jobs in the United States