Senior Software Engineer, Connectors & Discover
Zendesk is hiring a Senior Software Engineer, Connectors & Discover in Austin, United States. It pays $145k-$217k a year and Level rates it ; you can apply on Zendesk.
Level's read on this job
- On Level's scale, this software engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include RAG and NLP.
- Level classifies it as a senior role.
- Level lists 139 other open roles at Zendesk.
- The role was posted in the last few days.
AI in this role
Job Description
Join us at Zendesk, where we're on a mission to power exceptional service for every person on the planet. We're accelerating that ambition by building products rooted in AI, automation, and intelligent customer experiences, because behind every interaction lies an opportunity to make a human connection. We’re seeking a Senior Backend Engineer to own the data layer that powers Zendesk’s AI products. In this role, you’ll build and scale integrations and analytics infrastructure that transform raw support data into trusted automation recommendations — directly enabling customers to reduce support costs and improve customer outcomes.
What you’ll be doing
Design, build, and maintain robust platform connectors (ETL: Client → Extractor → Transformer → Loader) across third‑party systems, handling auth, pagination, rate limits, and schema drift.
Extend and scale the Discover insights engine: clustering topics, detecting knowledge gaps, calculating deflection/opportunity impact, and surfacing automation recommendations.
Build and operate resilient data pipelines: real-time webhooks, incremental sync, reindexing, and metrics aggregation with worker queues.
Design, optimize, and maintain search indices and aggregation pipelines for full-text, vector, and hybrid search at scale.
Solve distributed systems problems around multi-tenant isolation, webhook security, incremental sync correctness, and fault-tolerant processing.
Collaborate with product, ML, and design to turn analytics outputs into reliable, explainable customer-facing metrics and recommendations.
What you bring to the role
Strong backend engineering instincts and ownership mindset; you take systems from prototype to production-grade.
Deep experience building data pipelines or integration platforms with attention to correctness and observability.
Practical knowledge of search and analytics infrastructure powering RAG and retrieval features.
Experience with distributed job processing patterns and worker queue design.
A collaborative approach for working with product, data science, and customer-facing teams to deliver measurable ROI.
Basic qualifications
3+ years professional backend engineering experience, ideally in B2B SaaS.
Proficient in Python and backend frameworks (we use FastAPI).
Production experience with MongoDB, Elasticsearch/OpenSearch, and Redis.
Experience designing and operating distributed job processing (RQ, Celery, or similar).
Preferred qualifications
Experience with ETL/orchestration tools (Dagster, Airflow) and S3-based storage patterns.
Familiarity with NLP pipelines, embeddings, or production RAG systems.
Experience with system design for multi-tenant SaaS and webhook security (HMAC/OAuth).
Prior work on analytics engines that translate metrics into product recommendations.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
How we rate this
Senior Software Engineer, Connectors & Discover at Zendesk rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $145k
- Typical software engineer job
- $167k
This posting starts 13% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and NLP. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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