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Job Source-linked

Senior Technical Success Engineer

People Ai
⌖ Toronto ▣ Full-Time Remote Posted 2 months ago
CountryGlobal
Job typeFull-Time
Work / event modeRemote
DeadlineNot specified

About this job

As a Senior Technical Success Engineer at Backstory, you will own the hardest issues our largest customers raise. You work them from intake to root cause: reading logs, querying li

Responsibilities & complete job details

As a Senior Technical Success Engineer at Backstory, you will own the hardest issues our largest customers raise. You work them from intake to root cause: reading logs, querying live data stores, and establishing a solution. You will have the internal tooling and data access to investigate properly before ever asking a customer to check something you could have checked yourself. You will have the standing to hold a boundary when Sales, Engineering, or the customer pushes for a shortcut. This is a role for someone who has outgrown the queue and wants the cases that require judgement rather than throughput. Your findings do not stop at case closure: they become documentation, education, product signal, and better escalations for the whole team. This role trends toward full competency at 12–18 months so the first six months here are disorienting by design. Our platform is deep, the data is enormous, and the challenges can be complex and multifactorial. The people who come through become the ones the rest of the company routes its hardest questions to.

Own complex escalations for strategic accounts end-to-end, without oversight. Triage cases at intake as defect, configuration, expectation, or data availability. Resolve post-go-live configuration problems that present as product faults; route what belongs to other CSG teams. Investigate with internal tooling before contacting the customer, including on surfaces we do not control. Diagnose live issues by querying the underlying data stores. Present investigation timelines to customers and to internal audiences. Carry a full caseload to team standards - 4.5-day time to resolution, 95% SLA without closing cases early to hit them. Escalate to Engineering with stakes, timing, and affected-user count attached. Hold ticket-quality and escalation standards when asked to bypass them. Review AI-generated answers with the Technical KB Manager and improve the source artifacts behind them. Submit specific documentation requests to the KB queue; return technical review on drafts within five business days. Review teammates' investigations as you grow into the role.

Enterprise technical support experience, including at least one support role held for 18 months or more. Escalation ownership at a SaaS company whose product moves data between two systems the customer controls. A habit of investigating before replying, with specific logs, queries, and consoles you can name. The ability to diagnose a production issue with a live query. SQL, SOQL, or equivalent; the reasoning matters more than the dialect. Experience holding a written standard under pressure, without conceding a defect or blaming the customer. A recurring question you spotted, specified, and saw through to published documentation. Authorship optional. Communication that separates the technical answer from the relationship problem and addresses both. Nice to have: AI tooling in your own workflow, and a clear account of where it failed and when you stepped back in.

Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. The platform operates over trillions of sales activities, millions of deals, and more than 160 million business contacts, giving customers a unified view of the signals that drive revenue. Companies such as Nvidia, OpenAI, AMD, Red Hat, and Databricks rely on Backstory to surface risks, identify opportunities, and understand what's happening across their business. Backstory is building AI systems that reason over massive amounts of enterprise data to help business leaders understand what's happening in their business and what to do next. We work at the intersection of large language models, retrieval, evaluation, distributed data systems, and product design, turning billions of signals from across the enterprise into insights people can trust. The underlying challenges span reasoning, search, ranking, data quality, knowledge representation, and operating AI systems against continuously evolving real-world information. We value ownership highly — the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at Backstory, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.t

About People Ai

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