Applied Methods
~The MetaSales & GTMSolutions Engineer

Solutions Engineer

Solutions Engineers serve as technical bridges between sales and customers, designing and building proof-of-concept integrations while demonstrating how AI and data platforms solve complex business problems. They excel at translating customer requirements into technical architectures, running hands-on evaluations and live demos, and providing white-glove support through implementation. Unlike Solutions Architects who focus on long-term strategic design, these engineers are more involved in day-to-day problem-solving and rapid prototyping. They typically sit within GTM-aligned teams, partnering closely with Account Executives and Sales to accelerate deal cycles while gathering market feedback that informs product strategy.

$ titles --canonical
Solutions EngineerSr. Solutions EngineerForward Deployed Engineer, GTMDemo Experience Engineer
Open Jobs294
Companies Hiring75
$02

Skills

What companies are looking for in this role.

$ skills --core

Scoping, designing, and implementing custom AI solutions tailored to specific customer requirements

95%

Building and deploying production-grade generative AI applications including retrieval-augmented generation, multi-agent systems, and fine-tuning

90%

Providing technical pre-sales consultation and solution design to enterprise customers

90%

Programming in Python and other general-purpose languages

85%

Managing end-to-end technical project delivery including scope, timelines, and resource allocation

85%

Conducting technical demonstrations and proof-of-concept implementations for customer evaluation

85%

Designing and architecting distributed data systems and big data platforms

85%

Troubleshooting and resolving complex technical issues in production environments

80%

Building and optimizing machine learning and data science workflows

80%

Designing data integration pipelines and API-based connections between systems

78%

Integrating with cloud services and third-party applications

75%

Optimizing machine learning workload performance and inference at scale

75%

Deploying containerized applications and orchestrating container workloads

72%

Deploying and managing machine learning operations workflows and infrastructure

70%

Designing measurement frameworks and implementing attribution tracking solutions

65%
$ skills --soft

Translating complex technical concepts and code logic into business value and non-technical stakeholder language

90%

Building and maintaining long-term strategic relationships with executive and technical stakeholders

88%

Collaborating cross-functionally with product, engineering, and go-to-market teams to inform roadmap priorities

85%

Identifying customer pain points and translating feedback into product insights and improvement recommendations

82%

Leading discovery conversations to understand customer technical requirements, data flows, and integration needs

82%

Creating technical documentation, white papers, and implementation playbooks

78%

Understanding domain-specific use cases and translating industry workflows into technical solutions

75%

Developing and delivering training programs to customers and internal teams

72%

Traveling to customer sites for onsite implementation and relationship building

70%

Building and maintaining thought leadership through conference presentations and published content

68%
$03

Technology

The tools and technologies that define this role.

$ tech --language
Pythonvery high
SQLhigh
Scalamoderate
$ tech --framework
Apache Sparkhigh
LangChainhigh
Delta Lakemoderate
Kafkamoderate
MLflowmoderate
pandasmoderate
PyTorchmoderate
Raymoderate
scikit-learnmoderate
TensorFlowmoderate
DSPylow
$ tech --platform
AWShigh
Databrickshigh
Kuberneteshigh
Azuremoderate
GCPmoderate
HuggingFacemoderate
Kubeflowlow
$ tech --tool
Dockermoderate
Helmmoderate
Terraformmoderate
$ tech --concept
GenAIvery high
LLMvery high
APIshigh
Fine-tuninghigh
RAGhigh
LLMOpsmoderate
Multi-agent systemsmoderate
Text2SQLmoderate
$04

Open Jobs

294 open Solutions Engineer jobs across 75 companies.

OpenAI1w
Solutions Engineer
Seoul, South Korea·Sales & GTM
Glean1w
Solutions Engineer, DACH
Germany·Sales & GTM
CHAOS Industries1w
Forward Deployed Engineer - Software
El Segundo, California, United States·Sales & GTM
Fundamental1w
Data Scientist (Forward Deployed)
US (remote)·Sales & GTM
Fireworks AI1w
AI Field Engineer - Enterprise
New York, NY; Remote, USA; San Mateo, CA·Sales & GTM
Fireworks AI1w
AI Field Engineer - Microsoft Foundry
San Mateo, CA·Sales & GTM
CoreWeave1w
Senior Specialist Field Engineer - Storage
Singapore·Sales & GTM
CoreWeave1w
Senior Specialist Field Engineer - Networking
Singapore·Sales & GTM
Giga1w
Forward Deployed Engineer I/II
San Francisco·Sales & GTM
Databricks1w
Sr. Forward Deployed Engineer
Tokyo, Japan·Sales & GTM
MongoDB1w
Senior Consulting Engineer
Rome·Sales & GTM
Databricks2w
Sr. Solutions Engineer - Public Sector (Defense Industrial Base)
McLean, Virginia; Washington, D.C.·Sales & GTM
Databricks2w
Sr. Solutions Engineer - Public Sector (Federal Civilian)
Maryland; Virginia; Washington, D.C.·Sales & GTM
Cursor2w
Field Engineering - Japan
Japan·Sales & GTM
CoreWeave2w
Senior Specialist Field Engineer - Compute Infrastructure
Sunnyvale, CA / San Francisco, CA / Bellevue, WA·Sales & GTM
CoreWeave2w
Senior Specialist Field Engineer - Networking
Warsaw, PL·Sales & GTM
Legora2w
Technical Delivery Specialist
Sydney·Sales & GTM
Legora2w
Technical Delivery Manager
Stockholm HQ·Sales & GTM
OpenAI2w
Solutions Engineer, Large Enterprise
Madrid, Spain·Sales & GTM
Databricks2w
Senior Solutions Engineer - Qatar & S.Africa Fly-in
Paris, France·Sales & GTM