Solutions Engineer
InfoSum
New York, NY · $100k–$230k a year · Posted October 15, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at InfoSum
More in New York job market · All Solutions Engineer jobs (191) · Technology & Software · Sales jobs
Similar jobs
- Staff Data Platform Engineer · Thomson Reuters · New York, NY
- Senior Device Integration Engineer · Wolfspeed · Marcy, NY
- Enterprise Architect, AI & Intelligent Platforms · Manufacturers and Traders Trust Company · Buffalo, NY
- Cloud Platform Engineer · Manufacturers and Traders Trust Company · Buffalo, NY
- Lead Solution Architect · Episerver · NY
- Learning Solution Architect - AI Knowledgeworker · Datacamp · NY
Where New York, NY ranks
Where New York, NY placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for operations jobs1,429 openings · of 100
- #1Best cities for sales jobs2,774 openings · of 78
- #1Best cities for finance jobs1,932 openings · of 78
- #1Best cities for data and analytics jobs1,713 openings · of 58
- #1Best cities for HR jobs994 openings · of 30
- #1Best cities for marketing jobs1,754 openings · of 31
Rankings about sales jobs
- Best cities for sales jobs #1 New York (2,774 openings)
- Best cities for sales pay after cost of living #1 Santa Clara ($175k)
- Most requested AI skills in sales jobs #1 AI tools in daily work (4.1%)
- AI tools named most often in sales jobs #1 Gong (0.93%)
- Employers with the most sales jobs #1 Charter Communications (389 roles)
Pay compared with the market
This listing pays about $165,000 a year. Across 68 open solutions engineer listings that state pay, the middle half runs $149,000 to $200,000 and the median is $167,500. That is inside the middle half of those listings, 1% below the median.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
InfoSum is WPP’s privacy-first data collaboration technology, trusted by global businesses to unlock the full potential of their first-party data without risk. Its patented, cross-cloud, decentralized collaboration technology leverages advanced Privacy-Enhancing Technologies (PETs) to radically transform how companies generate audience intelligence and drive better customer experiences. As the foundational infrastructure underpinning WPP Open, InfoSum powers trusted data collaboration across every cloud, client, and capability.
Why we're hiring:
The Solutions Engineer will be a core member of InfoSum's North American Client Services team, reporting directly to the Senior Director of Solutions Engineering. This is a hands-on, client-facing technical role responsible for owning the full lifecycle of client implementations—from pre-sale scoping through post-sale execution and ongoing technical support.
InfoSum is WPP's newly acquired data collaboration platform (acquired April 2025 for ~$150M) and serves as the foundational data layer for WPP Open Intelligence. This role will work with some of the world's most recognizable brands, publishers, and data partners—including Disney, NBCU, Netflix, Roku, Walmart, and major WPP client brands.
What you'll be doing:
Own an assigned portfolio of WPP clients and partners, serving as their primary technical contact and implementation lead
Scope, design, and execute data collaboration solutions from initial discovery through go-live and ongoing optimization
Act as a "customer-facing DevOps resource" during the post-sale cycle—troubleshooting, building, and maintaining client implementations across multiple cloud environments
Write SQL queries, Python scripts, and build data workflows to deliver insights and activate campaigns for clients
Support pre-sale technical conversations, solution design, and proof-of-concept work alongside the sales team
Build and maintain technical documentation, implementation playbooks, and process standards as the team scales
Implement InfoSum's native app technology across all five major cloud environments (GCP, Snowflake, AWS, Azure, Databricks) over the next 6-12 months
Support growing WPP-internal initiatives including Data Meter (usage tracking), Data Catalog (asset discovery), and Dataset Audit (data validation)
What you'll need:
Technical Fluency:
SQL proficiency (ESSENTIAL): InfoSum's platform is built on a SQL-like query language. You must be comfortable writing, debugging, and optimizing SQL queries.
Python for data operations: Hands-on experience using Python to format data, create deliverables, and automate workflows. Must have actually coded in Python—not just AI-assisted familiarity.
Cloud environment experience: Experience working in at least one of: GCP, Snowflake, AWS, Azure, or Databricks. Comfortable navigating cloud storage, understanding data pipelines, and troubleshooting technical issues in cloud environments.
API integration experience: Has worked with or supported API-based integrations between platforms.
Client-Facing & Problem-Solving:
Service mentality: Approaches technical work with a customer-first mindset. Treats clients as partners, not just recipients of your technical expertise.
Excellent communicator: Can translate complex technical concepts into clear, accessible language for non-technical stakeholders.
Comfortable with ambiguity: Thrives in fast-moving, evolving environments where processes are still being built and problems don't always have a playbook.
Industry & Domain Knowledge:
AdTech/MarTech experience (ESSENTIAL): Must understand the paid media ecosystem—how advertisers, agencies, DSPs, SSPs, publishers, and data platforms work together.
Data collaboration or clean room familiarity: Familiarity with privacy-safe data collaboration concepts is a strong plus (hands-on clean room experience NOT required).
Mindset & Attitude:
Hungry to learn and grow: This role will expose you to five different cloud environments, cutting-edge privacy technology, and some of the most sophisticated data teams in media. You need to be excited by that, not overwhelmed.
Process-oriented: Naturally thinks about documentation, standardization, and replication—not just solving one-off problems.
Proactive and ownership-driven: Doesn't wait to be told what to do. Sees problems, raises them, and proposes solutions.
Who you are:
You're open : We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic : We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: We are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you:
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
#LI-Hybrid
The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, go to https://mybenefits.wpp.com/public/welcome for more details.
. $100,000 — $230,000 USD
<p