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Sr. Backend Engineer

Highspot

Highspot

Software Engineering
Seattle, WA, USA
USD 166k-248,850 / year + Equity
Posted on Oct 17, 2025
About Highspot
Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.
About the Role
As a Senior Backend Engineer on the Deal Intelligence team, you will lead the design of scalable infrastructure and orchestration systems that enable intelligent agents to operate in complex business environments. This is not traditional backend work—you’ll build the cognitive substrate that allows agents to reason, remember, act, and adapt on behalf of users.
We’re looking for someone who thrives in ambiguous, emerging spaces—someone who has built large-scale distributed systems and worked hands-on with agentic AI architectures (e.g., RAG pipelines, memory systems, policy engines). Your work will directly power Highspot’s most strategic AI roadmap.

What You'll Do

    Architect AI Agent Infrastructure
  • Design agent runtime environments that orchestrate long-running tasks, decisions, and tools.
  • Build modular systems for agent memory, contextual state handling, and secure API actions.
  • Integrate retrieval-augmented generation (RAG), multi-agent planning, and vector store reasoning.
  • Scale Core Systems
  • Own the backend architecture behind Deal Intelligence pipelines.
  • Ensure low-latency data access across MongoDB, PostgreSQL, Kafka, and Solr clusters.
  • Define and meet scalability, uptime, observability, and security goals.
  • Collaborate Across ML, Product, and UX
  • Work closely with ML engineers to productionize agent behaviors.
  • Integrate securely with Highspot’s permissioning, audit, and action layers.
  • Partner with product designers and PMs to co-create novel agent UX flows.
  • Drive Quality, Reliability, and Incident Learning
  • Lead postmortem reviews and build internal tools for debug-ability and traceability.
  • Evolve our LLMOps playbooks and safety guards for scalable deployment.

Your Background

  • 8+ years experience in backend systems development, including 3+ years in tech lead capacity.
  • Proven track record building distributed systems at scale (Kafka, Kubernetes, AWS, async eventing).
  • Strong system design skills across stateless orchestration, caching, multi-tenant scale.
  • Experience working with AI agent infrastructure (LangChain, Semantic Kernel, Haystack, etc.).
  • Comfort designing tool-use protocols, memory chains, or agent routing logic.
  • Excellent communicator and collaborator across product, design, ML, and infrastructure teams.

Strong Candidates May Also

  • Experience with agent evaluation frameworks (e.g., LLM-as-a-judge, synthetic evals, golden sets).
  • Built multi-agent or recursive reasoning systems.
  • Familiarity with observability for LLM behavior: hallucination detection, trace spans, vector drift.
  • Ruby or Typescript proficiency in production environments.
  • Past work in sales productivity, CRM, or workflow automation domains.

Why This Team, Why Now

  • Deal Intelligence is Highspot’s fastest-growing AI initiative. With the launch of Deal Agent, we’ve proven that intelligent assistants can drive measurable seller productivity. But we’re just getting started.
  • You’ll help shape the foundation of autonomous selling workflows: where agents listen, adapt, decide, and act across billions of sales interactions. Think next-gen copilots that are:
  • Context-aware of permissions, people, and processes
  • Agentic across Slack, Salesforce, Email, and Highspot itself
  • Evaluated and improved through robust automated frameworks
  • Integrated deeply with the rest of Highspot’s product ecosystem

Apply if you want to

  • Build systems that power next-generation AI behaviors—not just LLM wrappers
  • Be on the frontlines of AI-human collaboration in enterprise software
  • Join a high-impact, high-visibility crew with strong product/exec buy-in
  • Work with thoughtful, kind, mission-driven engineers, PMs, and researchers
Base salary range: $166,000 - $248,850 USD
Employees are eligible to receive stock options and may also receive other forms of compensation.
The above represents total expected compensation for this role. Actual compensation will depend on various job-related factors, including, but not limited to, location, experience, and job qualifications.
Highspot also offers the following employee benefits for this position:
-Comprehensive medical, dental, vision, disability, and life benefits
-Health Savings Account (HSA) with employer contribution
-401(k) Matching with immediate vesting on employer match
-Flexible PTO
-8 paid holidays and 5 paid days for Annual Holiday Week
-Quarterly Recharge Fridays (paid days off for mental health recharge)
-18 weeks paid parental leave
-Access to Coaches and Therapists through Modern Health
-2 volunteer days per year
-Commuting benefits
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Equal Opportunity Statement
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.
Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.