Solutions Engineer

PreSales Collective; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

PreSales Collective in New York is seeking a commercial-minded Solutions Engineer to support enterprise data subscriptions and distribution. Hybrid NYC role, full-time, focusing on API integrations, data workflows, and enabling customers.

The role requires 5+ years in pre-sales, hands-on with Snowflake/Databricks/AWS/GCP, Python, SQL, and experience with AI ingestion pipelines and RFP responses; offers base $120k-$150k with 10% on-target bonus.

Qualifications

• 5+ years in pre-sales engineering, technical account management, or hybrid roles in B2B SaaS or enterprise data distribution.
• Experience mapping client infrastructures and API-driven integrations with large-scale data warehouses.
• Strong Python skills to design and validate data workflows and POC environments.
• Ability lead technical discovery sessions and respond to RFPs.

Responsibilities

• Lead technical discovery sessions with enterprise clients.
• Draft technical responses for RFPs and support security/compliance reviews.
• Design data workflows and enable integrations for data subscriptions.

Skills

Pre-Sales Engineering

API-driven integrations

Python

SQL & data querying

RFP responses

Enterprise SaaS

Tools

Snowflake

Databricks

AWS

GCP

Job description

Client

A premier global news syndication and media network. Their distributed content feeds reach over half the global population on a daily basis. The engineering organization is highly modernized, investing heavily in structured data delivery, API architectures, and enterprise AI ingestion pipelines. They are seeking a commercial-minded Solutions Engineer to support their expanding enterprise data subscription and distribution business on a full-time basis.

Title

Solutions Engineer, Data Solutions & Partnerships

Location

Hybrid NYC

Compensation

Base salary $120,000.00 - $150,000.00 + 10% on-target bonus

Required Skills And Experiences

• 5+ years of experience in Pre-Sales Engineering, Technical Account Management, or a hybrid technical/commercial role within B2B SaaS or enterprise data distribution.


• Hands-on experience mapping client infrastructures and facilitating API-driven integrations, handling JSON schemas and large-scale cloud data warehouses (e.g., Snowflake, Databricks, AWS, or GCP).


• Strong scripting proficiency in Python (or a similar language) to design, validate, and execute custom data workflows and client Proof of Concept (POC) environments.


• Solid technical background in core data management, including SQL querying, parsing semi-structured datasets, and handling low-latency streaming data feeds.


• Practical understanding of modern generative AI ingestion pipelines, including how enterprises utilize external, verified datasets to optimize LLMs, vector databases, and retrieval frameworks.


• Proven capability driving technical discovery sessions, navigating enterprise security/compliance audits, and drafting technical responses for RFPs.