Sales Solutions Engineer Jobs
Sales Solutions Engineer jobs are open across SaaS, cloud infrastructure, cybersecurity, and enterprise software, at every level from associate to principal and director, with specializations in pre-sales, technical account management, and demo engineering. Find a role that fits from the openings below and apply directly.
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At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and Fraud prevention efforts of SDS.
You will be:
- Developing and implementing production software for retail ML initiatives and preventing retail fraud
- Responsible for system architecture design
- Working with external infrastructure teams to drive the development of infrastructure needs
- Innovating by recognizing opportunities for automation and tools improvements
- Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
- Responsible for technical leadership for a team of data scientists
- Responsible for Release engineering and ML Operations
- Expected to operate independent of supervision, with limited guidance
- Lead the team to increase the level of maturity and skill in analytical software development
Preferred Qualifications
Experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Java, Python, or equivalent language
Experience with Big Data & building ETL Data Pipelines
Experience with messaging systems, such as Kafka
8+ years of experience in software engineering/data science
Experience building data science or data analysis tools on AWS/GCP/Cloud based systems
At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions (SDS) team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the ML initiatives for Apple Retail and Fraud prevention efforts of SDS.
You will be:
- Developing and implementing production software for retail ML initiatives and preventing retail fraud
- Responsible for system architecture design
- Working with external infrastructure teams to drive the development of infrastructure needs
- Innovating by recognizing opportunities for automation and tools improvements
- Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
- Responsible for technical leadership for a team of data scientists
- Responsible for Release engineering and ML Operations
- Expected to operate independent of supervision, with limited guidance
- Lead the team to increase the level of maturity and skill in analytical software development
Preferred Qualifications
Experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Java, Python, or equivalent language
Experience with Big Data & building ETL Data Pipelines
Experience with messaging systems, such as Kafka
8+ years of experience in software engineering/data science
Experience building data science or data analysis tools on AWS/GCP/Cloud based systems
Sales Solutions Engineer Jobs by Experience Level
Top Cities Hiring Sales Solutions Engineers
Explore sales solutions engineer openings in the cities hiring most right now.
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Find Sales Solutions Engineer JobsSales Solutions Engineer Job Market
Who's Hiring
- Amazon35
- Ryder System30
- Apple25
- CVS Health21
- Collins Aerospace21C
Top Industries Hiring
- Technology & Software153
- Electronics & Hardware44
- Consulting & Professional Services30
- Manufacturing26
- Retail25
What Employers Look For
The qualifications that appear most often in sales solutions engineer jobs.
- Three or more years of pre-sales or solutions engineering experience in a B2B software environment
- Ability to deliver compelling technical product demonstrations to both technical and executive audiences
- Proficiency with CRM platforms such as Salesforce and sales engagement tools
- Experience scoping and managing proof-of-concept or pilot deployments with prospective customers
- Bachelor's degree in computer science, engineering, or a related technical field
- Familiarity with APIs, cloud platforms such as AWS or Azure, and integration architecture
Tips for Your Sales Solutions Engineer Job Search
Quantify your demo-to-close impact
Hiring managers want to see how your technical presentations moved deals forward. List the number of discovery calls you ran, proof-of-concept projects you led, or pipeline stages your demos influenced, using concrete outcomes rather than general responsibilities.
Tailor your resume to the product stack
Sales solutions engineer roles vary sharply by product category. Rewrite your technical skills section for each application to front-load the specific platforms, APIs, or integration tools named in that job posting, so your resume clears automated screening.
Target openings by deal complexity
Some roles focus on high-velocity SMB cycles while others run multi-month enterprise proofs of concept. Filter your search by company size and average contract value signals in the job description to find environments where your experience actually fits.
Apply early to roles that fit
Migrate Mate lists sales solutions engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a live technical demonstration
Most final-round interviews include a mock demo or whiteboard session. Practice presenting a product you know well to a non-technical audience, anticipating objections about integration complexity, security, and total cost of ownership that real buyers raise.
Negotiate using total compensation components
Offers for solutions engineers typically include variable commission tied to quota or closed deals. Before you accept, clarify how quota attainment is calculated, what percentage of the team hits it, and whether uncapped commission structures apply to your role.
Sales Solutions Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most sales solutions engineers?
The companies hiring the most sales solutions engineers right now include Amazon, Ryder System, and Apple, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Enterprise software and cloud infrastructure companies consistently account for a large portion of active openings.
How many sales solutions engineer jobs are remote?
About 69% of sales solutions engineer openings are fully remote or hybrid as of August 2026, reflecting how much of the role's work, including demos, discovery calls, and proof-of-concept oversight, happens over video. Roles focused on cloud-native or SaaS products tend to have the highest share of fully remote positions compared to hardware-adjacent or on-premises enterprise roles.
How do you become a sales solutions engineer?
Most sales solutions engineers start in a technical role such as software engineering, IT consulting, or technical support, then transition into pre-sales by leveraging their product knowledge in customer-facing settings. Building presentation skills, learning a CRM platform, and taking on internal demo or proof-of-concept work are common stepping stones before moving into a dedicated solutions engineering title.
Can you get a sales solutions engineer job with little experience?
Yes, associate or junior solutions engineer roles exist specifically for candidates with strong technical foundations but limited pre-sales history. Employers in high-growth SaaS companies often hire from technical support, implementation, or customer success teams. Demonstrating you can translate complex features into business value during interviews, even using a product you know personally, can outweigh a thin pre-sales resume.
What does the sales solutions engineer interview process look like?
The process typically starts with a recruiter screen followed by a hiring manager conversation focused on your technical background and sales exposure. Later rounds usually include a mock product demonstration or technical presentation to a panel, and sometimes a whiteboard session covering system architecture or integration design. Final rounds often involve meeting account executives or sales leadership you would partner with directly.
Where can I find and apply to sales solutions engineer jobs?
You can find and apply to sales solutions engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing from the page.
See All 1,299+ Sales Solutions Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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