Customer Solutions Engineer
Serve as the technical bridge between customers and Sift's engineering/product teams. Own complex customer issues for enterprise accounts, support integrations and ML model health, write scripts/queries for ROI and automation, and advocate for customer needs internally. Requires 5+ years technical customer-facing experience, strong scripting skills, and cross-functional collaboration.
About the job
What you’ll do
- Own the most complex customer issues as the technical liaison to Enterprise/Strategic accounts, partnering with Customer Success Management.
- Build deep understanding of customers’ business problems, technical requirements, and success criteria to help solve complex business problems.
- Support the customer lifecycle as the technical point of contact, understanding business and technical needs, nuances of integrations, machine learning model health, data flows, and acting as the internal voice of the customer.
- Automate and optimize by writing custom queries and scripts to calculate metrics, prove ROI, optimize processes, automate tasks, and drive innovative problem-solving for internal decision-making.
What would make you a strong fit
- 5+ years in a technical customer-facing role.
- Close cross-functional collaboration with data science, engineering, and product teams.
- Outstanding communication skills, including explaining complex technical and business concepts to both developers and non-developers.
- Creative, coachable, collaborative, goal-oriented, thoughtful, with strong work ethic and commitment to excellence.
- Growth mindset: enjoy learning new skills and applying them to technical challenges.
- Resourceful and proactive; investigate anomalies and challenge the status quo.
- Strong experience writing scripts and queries for internal tools and data pulls (e.g., SQL, Python, Bash scripting); comfort with APIs and web technologies.
- Ability to prioritize and deliver on multiple projects in tandem; thrive under pressure and clarify ambiguous situations.
Bonus points
- Experience in the B2B payments and/or fraud space.
Skills
SQL, Python, Bash, APIs, Web Technologies, Machine Learning, Data Science
Similar jobs
Support Engineering jobs
Rad AI
San Francisco, CA
Leads technical support operations by managing support engineers, architecting integrations and automation, and owning high-severity escalations and operational reliability. Requires 5+ years managing technical support teams, strong systems expertise, and hands-on experience shipping automation and AI workflows.
Skydio
United States
Leads remote technical and field support teams serving defense and federal government customers using Skydio drone, dock, cloud, and BVLOS products. The role requires substantial customer-support leadership, defense or federal UAS experience, direct people management, KPI ownership, and strong analytical skills.
Plaid
San Francisco, CAInvestigates and resolves high-impact financial institution integration issues by developing, deploying, and monitoring code while coordinating with external data partners. Requires 1.5+ years in a technical role, API or integration experience, strong debugging, SQL-based analysis, and clear communication.
Skydio
United States
Provides advanced technical, operational, and field support for Skydio UAS hardware, docks, cloud systems, and networking. The role requires at least three years of UAS flight experience, strong troubleshooting skills, and regional travel of up to 30–50%.
ConductorOne
Remote
Provides hands-on technical support for a SaaS identity and security platform, troubleshooting integrations, APIs, containers, and hybrid deployments while guiding customers and collaborating cross-functionally. Requires 3+ years in technical support, solutions engineering, or DevOps.