Solutions Engineer

Location:
Remote (US East Coast)

Sisense is the premier AI-powered embedded analytics platform that empowers product and engineering teams to build accessible, governed, data-driven experiences directly inside their applications. Backed by over 20 years of powering customer-facing analytics for companies like Pager Duty, Philips, and Seismic, Sisense serves as the trusted distribution layer for product AI - grounding models in approved metrics, business context, and role-based security rules.

This role offers a structured pathway to launch and accelerate your pre-sales career. You will partner directly with seasoned Sales Engineers and SE leadership who have scaled high-growth enterprise software companies. If you come from an implementation, technical support, or technical account management background, this role gives you the mentorship, training, and customer-facing exposure needed to sharpen your commercial acumen and technical depth in embedded analytics and AI.

• Partner with Account Executives (AEs): Serve as the core technical resource across the deal cycle, proving the architectural and business value of Sisense to prospects.

• Lead Technical Discovery: Assist with and conduct discovery sessions with product managers, software engineers, and data leaders to uncover technical pain points and scope requirements.

• Build Proof of Concepts (PoCs): Design, configure, and deliver tailored technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript/React SDKs.

• Create Reusable Demo Assets: Develop interactive dashboard prototypes, custom component examples, and technical documentation to assist the broader commercial team.

• Ensure Smooth Handoffs: Collaborate closely with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes.

• 1–3 years of experience in a customer-facing technical role , such as Associate/Junior Solutions Engineering, Technical Support, Implementation Consulting, Solutions Architecture, or Technical Account Management.

• Hands‑on proficiency with SQL , including writing queries, understanding relational database structures, and joining disparate data models.

• Working knowledge of web technologies: Ability to read and modify JavaScript (React, Angular, or Vue), inspect web elements, and work with REST APIs and JSON payloads.

• Clear technical communication: Proven ability to translate complex architectural concepts into plain language for both technical (developers, data engineers) and non-technical (executives, product leaders) audiences.

• Curiosity and coachability: A growth mindset with a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.

• Hands‑on scripting experience in Python or backend languages.

• Familiarity with embedded analytics architectures, webhooks, or SSO/authentication protocols (SAML, JWT, OAuth).

• Experience with cloud data warehouses (Snowflake, Big Query, Redshift, or Databricks).

• Foundational understanding of generative AI patterns, LLM orchestration, or natural language querying (NLQ).

• By Day 30:

• By Day 60:

• By Day 90:

• New York City Base Salary Range: $75,000 – $104,000 / year.

• Total Compensation (OTE): In addition to base salary, this role includes a variable sales commission plan based on achievements.

• Note: The salary range above reflects base compensation specifically for candidates located within New York City. Base pay for candidates located outside of NYC across the East Coast will be benchmarked to their specific geographic market tier and local cost of labor.