Principal Software Engineer - Enterprise Customer

1 мес. назад

USALead

distributed systems

Principal-level, customer-facing software engineer focused on large-scale distributed data systems and solving complex enterprise customer problems.

Будет плюсом

Experience in B2B SaaS, especially in data, security, privacy, or compliance domains.
Background in high-scale multi-tenant architectures and performance optimization.
Familiarity with incident management practices and tools (e.g., runbooks, on-call rotations, incident command structures).
Experience working with product managers to shape roadmaps based on customer needs and operational insights.
Prior exposure to consent, privacy, or data governance systems is a plus, but not required.

Условия

As an employee at  , you will be part of the OneTeam . That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit .com/careers.

Другое

’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, is once again redefining what responsible innovation looks like. , the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, is shaping the future where trusted data becomes a transformative
We are looking for a Principal-level, US-based, customer-facing engineer who is deeply hands-on with large-scale, distributed data systems and passionate about solving complex customer problems. You will be the technical front line for our largest enterprise customers: diagnosing and resolving production issues, shaping solutions that unlock value from our platform, and translating real-world pain points into product and engineering priorities. 
This is a high-impact, visible role that reports to the SVP of engineering and partners closely with Product Management, Support, Engineering, and Customer Success. Clear, crisp communication and strong customer empathy are essential. 
Act as the primary technical point of contact for a portfolio of strategic enterprise customers using our big-data and high-scale services.
Diagnose and troubleshoot complex issues across distributed systems, data pipelines, APIs, and integrations, often in live or near-live production contexts.
Reproduce, triage, and drive resolution of incidents in partnership with Product Engineering, SRE/CloudOps, and Support.
Lead deep-dive technical sessions with customers to understand their architectures, data flows, performance constraints, and success metrics.
Translate customer pain points into clear problem statements, technical requirements, and prioritized backlog items for Product Management and Engineering.
Guide customers through best practices for scalability, reliability, cost efficiency, and observability when using our platform.
Mentor Support and Customer Success teams on technical topics so they can handle a broader range of issues independently.
Create high-quality technical assets: runbooks, knowledge base articles, reference architectures, sample code, and internal playbooks.
Participate in incident postmortems and drive improvements to product, tooling, and processes that reduce recurrence.
Provide structured, data-driven feedback to Product Management on roadmap, usability, and technical gaps surfaced through customer engagements. 
12+ years of hands-on engineering experience, with at least 3 years in a customer-facing role (e.g., Solutions Engineer, Customer/Field Engineer, Technical Account Manager, or similar) 
Distributed datastores or warehouses (e.g., Cosmos DB, BigQuery, Snowflake, Databricks, Cassandra, MongoDB, similar)
Large-scale data processing frameworks (e.g., Spark, Flink, Kafka, streaming pipelines)
High-throughput, low-latency APIs and services in a cloud environment
Proven track record of troubleshooting complex production issues across multiple layers (application, data, infrastructure, network)
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including monitoring, logging, and observability tooling
Strong scripting or programming skills (e.g., Python, Java, C#, or similar), sufficient to analyze logs, build small tools, and understand production code paths
Ability to explain complex technical concepts in simple, business-relevant language
Comfortable presenting to both engineers and executive stakeholders at enterprise customers
Demonstrated customer empathy and ownership: you care about outcomes, not just tickets closed 
In this role, success means: 
Our largest enterprise customers see you as a trusted technical partner who understands their environment and advocates for them internally.
Critical incidents are resolved faster, with clearer communication, better root-cause analysis, and fewer repeats.
Product and engineering teams receive well-structured, actionable feedback that influences roadmap and technical investment.
Support and Customer Success teams become more effective and self-sufficient because of your guidance, enablement, and assets.
Overall customer satisfaction and platform adoption improve measurably for the accounts you support. 
For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Check out the following to learn more about and its people: 
Careers on YouTube
@LifeatOneTrust on Instagram
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information holds about you. Further details about these rights are available on the website in our  Privacy Overview .  You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the  Data Subject Request Form .
 
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