Senior Technical Support Engineer
Company websitelangchain.com (LangChain, opens in new tab)
Base salary $130K to $195K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +10 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +10 more
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All 11 locations
- San Francisco, CA
- Chicago, IL
- Austin, TX
- Atlanta, GA
- Tampa, FL
- Seattle, WA
- Boston, MA
- New York, NY
- San Diego, CA
- Washington DC
- Los Angeles, CA
About this job
About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the role
We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms
Key Responsibilities
Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
Partner with Deployed Engineering to support critical enterprise customers.
Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
Lead post-mortems for critical incidents and feed learnings back into product and documentation.
Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
Mentor and coach other support engineers.
How to be successful in this role
6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
Programming experience with Python. Bonus if you have TypeScript experience.
Hands-on knowledge of Kubernetes and Docker
Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
Experience supporting enterprise customers and collaborating with engineering on complex escalations.
A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented
Location: Remote
Compensation
Annual salary range: $130,000 - $195,000 USD + equity
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Source: LangChain on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 44% of the 666 Customer Success & Support roles nationwide listed on this site; 26 others list the same floor. Their median floor is $132,000; the middle half runs from $115,000 to $151,500.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingSenior Technical Support Engineer$130K to $195K
Founding Emerging Talent Recruiter$135K to $190K
Analytics Engineer$140K to $180K
IT Systems Administrator$120K to $160K
Product Designer$145K to $185K
FullStack Engineer, AI Observability & Evals Platform (LangSmith)$145K to $180K
Python OSS Engineer$150K to $250K
Chart as a table
| Role | Published base |
|---|---|
| Senior Technical Support Engineer (this listing) | $130K - $195K |
| Founding Emerging Talent Recruiter | $135K - $190K |
| Analytics Engineer | $140K - $180K |
| IT Systems Administrator | $120K - $160K |
| Product Designer | $145K - $185K |
| FullStack Engineer, AI Observability & Evals Platform (LangSmith) | $145K - $180K |
| Python OSS Engineer | $150K - $250K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-09
Where this pay comes from
Location as the employer wrote it: Multiple locations (11) (remote)
- Annual salary range: $130,000 - $195,000 USD + equity
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.