Full-Time

Staff Software Engineer

GTM Systems

Updated on 9/3/2026

Anthropic

Anthropic

5,001-10,000 employees

Develops reliable, interpretable AI systems

Compensation Overview

$320k - $405k/yr

H1B Sponsorship Available

San Francisco, CA, USA

Hybrid

Staff must work from an office at least 25% of the time.

Bachelor's

Category
Software Engineering
Required Skills
Version Control
Salesforce
DevOps

Get referred to Anthropic

See people who can refer or advise you

Requirements
  • Strong software engineering fundamentals, including version control discipline, testing, code review, deployment automation, and a bias toward simple designs.
  • Experience building a delivery pipeline for a team, including the ability to describe the sequencing choices made.
  • Experience leading a team through a step change in engineering practice as its scope grew, including responding when adoption slowed.
  • Fluency with artificial intelligence coding tools and agentic development workflows, with views on how a team should standardize around them.
  • Ability to run technical discussions across teams that do not report to you and reach a decision rather than a follow-up meeting.
  • Ability to reason about systems not owned by you well enough to predict how changes affect them.
  • Preference for influence through demonstrated work over positional authority.
Responsibilities
  • Lead architecture reviews for go-to-market systems that process lead-to-cash transactions and generate organizational data, including changes originating in other teams that land on the platform.
  • Architect and mature the engineering pipeline, including pull request workflow, continuous integration and continuous delivery, automated user acceptance testing, and the deployment path from source control to production.
  • Establish shared artificial intelligence-assisted development standards for the team, converting individual usage into a consistent practice that holds up under review.
  • Work with engineering teams outside go-to-market on shared architectural problems and common tooling where the appropriate solution is a platform decision rather than a local one.
  • Build and shape agentic tooling running on top of the platform and establish patterns for other engineers building subsequent tools.
  • Trace the dependency chain from upstream data through downstream quoting and provisioning systems, ensuring design decisions account for their effects.
  • Partner with platform developers as engineering practice deepens, expanding what the team can safely ship.
Desired Qualifications
  • Experience working on business-critical enterprise platforms where financial correctness and auditability mattered.
  • Experience with Salesforce or comparable enterprise platforms, including their metadata and deployment models.
  • Experience building tooling or agents on top of an enterprise system of record.
  • Experience operating in a company under audit or compliance constraints.

Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.

Company Size

5,001-10,000

Company Stage

Debt Financing

Total Funding

$182.8B

Headquarters

San Francisco, California

Founded

2021

Get referred to Anthropic

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Project Glasswing found over 10,000 critical vulnerabilities by June 2, 2026.
  • Anthropic disclosed annualized revenue above $65 billion in July 2026, signaling explosive demand.
  • September 1, 2026 pricing cuts for cache reads boost agentic API adoption and retention.

What critics are saying

  • Anthropic’s $1.5 billion copyright settlement, approved July 20, 2026, invites more suits.
  • Late-September 2026 IPO pressure exposes weak multiples if growth decelerates after listing.
  • Heavy compute commitments and chip-lease debt create existential financing risk if demand softens.

What makes Anthropic unique

  • Claude Security and Project Glasswing anchor Anthropic’s enterprise security moat in 2026.
  • Anthropic pairs frontier-model capability with explicit safety branding, unlike OpenAI’s consumer-first posture.
  • Multi-cloud distribution across AWS, Google, Microsoft, Lambda, and Nscale reduces single-vendor dependence.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

4%

2 year growth

2%
Yahoo Finance
Sep 9th, 2026
Broadcom eyes $40B Anthropic opportunity as Google chip risks weigh on stock

Broadcom could capture a $40 billion opportunity from Anthropic's growing compute needs, according to Macquarie analyst Arthur Lai. This comes as concerns mount over Google developing more chips internally, potentially threatening Broadcom's custom silicon business. The stock has fallen approximately 24% from its all-time high. However, Lai suggests many concerns may already be priced in, creating an attractive entry point. In April, Anthropic partnered with Google and Broadcom to secure next-generation TPU capacity for training its Claude AI models. Broadcom's AI semiconductor revenue surged 221% year-over-year to $16.7 billion in fiscal Q3 2026. Management projects AI semiconductor revenue could reach $115 billion in fiscal 2027 and potentially $230 billion in fiscal 2028. The Anthropic partnership could provide crucial revenue visibility whilst strengthening Broadcom's position in custom AI silicon and networking.

PR Newswire
Sep 8th, 2026
Black Duck joins Anthropic's Project Glasswing to secure critical software with AI

Black Duck has joined Anthropic's Project Glasswing, an industry initiative aimed at securing critical software infrastructure using advanced AI for defensive cybersecurity. The application security company will apply Mythos, Anthropic's AI system, across its full security portfolio. This will combine AI-accelerated vulnerability discovery with remediation workflows, risk-based prioritisation, and compliance-driven governance. "AI is transforming the economics and speed of vulnerability discovery and exploit development," said Dipto Chakravarty, Black Duck's Chief Product & Technology Officer. He explained that pairing Mythos with Black Duck's existing capabilities will enable faster risk reduction whilst maintaining the transparency and auditability required by enterprise security teams. Black Duck specialises in application security, combining deterministic analysis with AI reasoning to identify and fix security issues in code written by developers, generated by AI, or assembled from open source.

Yahoo Finance
Sep 8th, 2026
Goldman Sachs and Morgan Stanley push for OpenAI and Anthropic investment-grade ratings despite $20.9B losses

Goldman Sachs and Morgan Stanley have asked major credit rating agencies to grant investment-grade status to OpenAI and Anthropic upon going public, despite neither company turning a profit, the Financial Times reported. OpenAI posted a $20.9 billion operating loss on $13.1 billion revenue in 2025. Anthropic doesn't expect to break even until 2028, with OpenAI targeting 2030. The investment-grade designation would allow pension funds and insurers to buy their bonds. It would also terminate Nvidia's guarantee of up to $105 billion in lease obligations for OpenAI's Ohio campus. Rating analysts currently describe both labs as speculative-grade and loss-making. When SpaceX received investment-grade ratings after its June IPO, its bonds traded near junk pricing within days. Anthropic could list in late September, whilst OpenAI targets 2027.

Yahoo Finance
Sep 8th, 2026
Interactive Brokers earns interest on $182B of clients' idle cash — will Anthropic's IPO drain it?

Interactive Brokers held $182.4 billion in uninvested client cash at the end of June, up 27% year over year, and this figure grew to $185.6 billion by August. The automated global broker earns interest on this cash by investing it in short-term US government securities whilst paying clients a rate half a percentage point below the federal funds rate. Net interest income rose 23% year over year to $1.06 billion in the second quarter, representing more than half of total net revenues of $1.9 billion. The growth came from larger balances rather than margins, which actually narrowed to 1.93% from 2.07%. Anthropic's potential IPO, rumoured to arrive soon with a possible $2 trillion valuation, could provide clients with an opportunity to deploy some of this cash.

Yahoo Finance
Sep 7th, 2026
Anthropic signs $35B cloud deal with Lambda at Nvidia-leased Texas data centre

Anthropic has reportedly secured a $35 billion cloud deal with Lambda for 350 MW of capacity at Hut 8's Beacon Point campus in Texas, marking its ninth major compute corridor. The arrangement highlights Nvidia's dual role as both GPU supplier and data centre landlord, allowing it to extract value at multiple levels. The deal supports Anthropic's $65 billion annualised revenue run rate but deepens its reliance on Nvidia's ecosystem. Anthropic has diversified across nine corridors, including commitments to AWS (5GW), Google/Broadcom (5GW), Microsoft/Nvidia ($30 billion), Fluidstack ($50 billion), Nscale ($45 billion), Volta ($10 billion), AMD ($5 billion), and SpaceX (300MW). This infrastructure strategy reflects a shift where GPU suppliers increasingly control both hardware and physical environments, positioning themselves as compute landlords.