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 Jobs306
Companies Hiring74
$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

306 open Solutions Engineer jobs across 74 companies.

Parloa1d
Senior Forward Deployed Engineer (Spain)
Madrid; Remotely in Spain·Sales & GTM
Parloa1d
Senior Forward Deployed Engineer (France)
France; Paris·Sales & GTM
OpenAI1d
Demo Experience Engineer, Technical Success
San Francisco·Sales & GTM
Vapi2d
Sales Engineer
New York·Sales & GTM
Legora2d
Forward Deployed Engineer - SE
Stockholm HQ·Sales & GTM
Legora2d
Forward Deployed Engineer
New York City·Sales & GTM
Serval4d
Founding Solutions Engineer
San Francisco·Sales & GTM
Databricks6d
Pre-sales Senior Technical Solutions Engineer (Data and AI)
London, United Kingdom·Sales & GTM
Vapi1w
Sales Engineer - EMEA
Amsterdam·Sales & GTM
Vapi1w
Sales Engineer
San Francisco·Sales & GTM
Shield AI1w
Senior Staff Field Solutions Engineer (R5321)
Dallas, Texas·Sales & GTM
Sixfold1w
Forward Deployed Engineer
Remote·Sales & GTM
Cognition1w
Deployed Engineer - ANZ
Sydney·Sales & GTM
Databricks1w
Sr. Solutions Engineer
Stockholm, Sweden·Sales & GTM
Palantir1w
Forward Deployed Software Engineer, Internship - Intel
Washington, D.C.·Sales & GTM
Ramp1w
Manager, Procurement Product Activation
San Francisco, CA·Sales & GTM
Ramp1w
Procurement Product Activation Manager
New York, NY (HQ)·Sales & GTM
Palantir1w
Forward Deployed Software Engineer, Internship - Commercial
Chicago, IL·Sales & GTM
Tessl1w
Field Engineer (Presales) - Northeast (Boston/NY)
New York·Sales & GTM
Scale AI1w
Solutions Engineer – Robotics & Autonomous Driving
San Francisco, CA; New York, NY·Sales & GTM