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Solutions Engineer

Sisense
•$75,000 - $104,000•Remote
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About The Position

Sisense is hiring a Solutions Engineer for its sales engineering team. The position offers a structured pathway into pre-sales, with mentorship, training, and customer-facing experience in embedded analytics and AI. The Solutions Engineer partners with Account Executives throughout the sales cycle, demonstrating the architectural and business value of the Sisense platform to prospects. The role works with product managers, software engineers, and data leaders to identify technical needs, build tailored proofs of concept and trial environments, create reusable demo assets, and support smooth handoffs to Customer Success and Professional Services. The first 30 days focus on platform and architecture onboarding, learning the sales lifecycle and technical qualification framework, shadowing discovery calls, and completing an internal demo certification. By day 60, the employee joins the demo rotation, assists with technical qualification and RFI/RFP responses, co-builds trials and PoCs, and troubleshoots integration questions. By day 90, the employee is expected to independently lead standard discovery sessions and demonstrations, own technical trial workflows, and contribute a reusable demo asset or integration guide. The role is remote in the US East Coast. The stated New York City base salary range is $75,000–$104,000 per year. Total compensation also includes a variable sales commission plan based on achievements; base pay outside NYC is benchmarked to the applicable geographic market tier and local cost of labor.

Requirements

  • 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, including the ability to read and modify JavaScript (React, Angular, or Vue), inspect web elements, and work with REST APIs and JSON payloads.
  • Ability to communicate technical concepts clearly to both technical audiences, such as developers and data engineers, and non-technical audiences, such as executives and product leaders.
  • A growth mindset and proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.

Nice To Haves

  • Hands-on scripting experience in Python or backend languages.
  • Familiarity with embedded analytics architectures, webhooks, or SSO/authentication protocols such as SAML, JWT, or OAuth.
  • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
  • Foundational understanding of generative AI patterns, LLM orchestration, or natural language querying (NLQ).

Responsibilities

  • Partner with Account Executives as the core technical resource across the deal cycle, demonstrating the architectural and business value of Sisense to prospects.
  • Assist with and conduct technical discovery sessions with product managers, software engineers, and data leaders to identify pain points and scope requirements.
  • Design, configure, and deliver tailored technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript/React SDKs.
  • Develop interactive dashboard prototypes, custom component examples, and technical documentation for the broader commercial team.
  • Collaborate with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes.
  • Assist Account Executives with technical qualification and RFI/RFP responses.
  • Troubleshoot prospect integration questions involving REST APIs and SDK embedding.
  • Lead standard technical discovery sessions and product demonstrations for an assigned pipeline.
  • Own technical trial workflows from initial scoping through technical win.
  • Contribute reusable demo assets or integration guides to the internal Sales Engineering repository.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

No Education Listed

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