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Strategy Engineer Jobs (NOW HIRING)

Data & AI Strategy - Senior Advisor

Manhattan, NY · On-site

$74 - $99/hr

As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level ...

Data & AI Strategy - Senior Advisor

Manhattan, NY · On-site

$74 - $99/hr

As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level ...

Data & AI Strategy - Senior Advisor

Manhattan, NY · On-site

$74 - $99/hr

As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level ...

... strategic decisions is favorable ** Final pay grade will be determined based on applicant's experience and qualifications ** Key Metrics * Prepare engineering reports. * Perform tasks in accordance ...

... strategic decisions is favorable ** Final pay grade will be determined based on applicant's experience and qualifications ** Key Metrics * Prepare engineering reports. * Perform tasks in accordance ...

... strategic decisions is favorable ** Final pay grade will be determined based on applicant's experience and qualifications ** Key Metrics * Prepare engineering reports. * Perform tasks in accordance ...

... strategic decisions is favorable ** Final pay grade will be determined based on applicant's experience and qualifications ** Key Metrics * Prepare engineering reports. * Perform tasks in accordance ...

... strategic decisions is favorable ** Final pay grade will be determined based on applicant's experience and qualifications ** Key Metrics * Prepare engineering reports. * Perform tasks in accordance ...

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Showing results 1-20

Strategy Engineer information

See salary details

$57.5K

$103.7K

$154.5K

How much do strategy engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for strategy engineer in the United States is $103,684.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $112,500.00 per year, depending on experience, location, and employer.

What are Strategy Engineers?

Strategy Engineers are professionals who analyze, develop, and implement long-term plans to help organizations achieve their business objectives. They combine technical knowledge with business acumen to identify opportunities, assess risks, and recommend solutions that align with a company's strategic goals. Their work often involves market research, data analysis, and collaboration with various departments to ensure successful execution of strategies. Strategy Engineers play a crucial role in driving innovation, improving efficiency, and maintaining a competitive edge for the organization.

What are the key skills and qualifications needed to thrive as a Strategy Engineer, and why are they important?

To thrive as a Strategy Engineer, you need strong analytical skills, business acumen, and a degree in engineering, business, or a related field. Familiarity with data analysis tools (like Excel, Tableau, or Python), modeling software, and sometimes certifications like Six Sigma or PMP are commonly required. Excellent problem-solving, communication, and stakeholder management skills set standout professionals apart. These competencies are crucial for developing effective strategies that drive business growth and optimize operational performance.

How does a Strategy Engineer typically collaborate with cross-functional teams to drive project success?

Strategy Engineers often work closely with teams from product development, operations, finance, and marketing to ensure that engineering solutions align with broader business objectives. This collaboration involves regular meetings to share insights, analyze data, and develop actionable plans. By bridging technical expertise with strategic planning, Strategy Engineers help prioritize initiatives, allocate resources efficiently, and track progress against key performance indicators. This collaborative approach not only fosters innovation but also ensures that projects are delivered on time and within scope.
What states have the most Strategy Engineer jobs? States with the most job openings for Strategy Engineer jobs include:
Infographic showing various Strategy Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,684 per year, or $49.8 per hour.
AI Data Strategy Engineer / Applied Scientist, LLM Data

AI Data Strategy Engineer / Applied Scientist, LLM Data

Propio

Leawood, KS • On-site

Full-time

Posted 6 days ago


Propio rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

323rd of 449 rated business services


Job description

Description:

Propio Language Services is a provider of the highest quality interpretation, translation, and localization services. Our people take pride in every resource we offer, and our users always have access to cutting-edge technology, exceptional support, and collaborative user experiences. We are driven by our passion for innovation, growth, and bridging communication gaps in a diverse world. If you’re passionate about delivering technology-driven solutions and building lasting client relationships while contributing to client growth, Propio could be the ideal place for you.


We are building AI-powered systems that enhance multilingual communication, improve interpreter workflows, and support next-generation AI applications across text, speech, and multimodal experiences.


Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data strategy, curation pipelines, annotation workflows, and evaluation datasets that power our multilingual AI systems.


This is a hands-on technical role for someone who understands how to manage the full AI data lifecycle, from acquisition, curation, annotation, and quality control to evaluation datasets and post-training data, to directly improve model performance.


The ideal candidate can build scalable data pipelines, design high-quality annotation and QA processes, identify model failure modes, and close performance gaps through targeted data acquisition, curation, and synthetic data generation.


Key Responsibilities:

  • Define the end-to-end data roadmap for multilingual and multimodal AI systems, including text, speech, translation, interpretation, low-resource languages, and agentic AI workflows.
  • Design and build dataset curation pipelines for training, post-training, and evaluation, including cleaning, deduplication, filtering, PII redaction, quality scoring, sampling, balancing, and versioning.
  • Create annotation schemas, labeling guidelines, QA rubrics, golden datasets, and reviewer workflows for multilingual, speech, translation, and agentic AI data.
  • Build evaluation datasets and benchmarks, analyze model failure modes, and translate performance gaps into targeted data improvements.
  • Support post-training data workflows such as SFT, instruction tuning, preference data, RLHF/DPO-style data, reward model data, and synthetic data generation.
  • Use modern annotation tools and AWS-based data infrastructure to scale secure, traceable, and compliant AI data workflows.


Requirements:


  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience.
  • 4+ years of experience in AI data, ML data operations, NLP data engineering, applied ML, speech/translation data, or LLM data workflows.
  • Strong hands-on experience with Python, SQL, and dataset curation pipelines.
  • Experience with annotation workflows, QA rubrics, evaluation datasets, or human-in-the-loop data processes.
  • Familiarity with multilingual NLP, speech data, translation data, low-resource languages, conversational AI, or agentic AI datasets.
  • Working knowledge of AWS data and ML tools such as S3, Glue, SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, IAM, or KMS.
  • Strong communication skills and ability to work with ML engineers, applied scientists, product teams, linguists, data teams, and vendors.

Preferred Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, NLP, Computational Linguistics, Data Science, Statistics, or a related field.
  • Experience with LLM post-training workflows such as SFT, instruction tuning, preference data, RLHF, DPO, reward modeling, or evaluation data generation.
  • Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge workflows, or automated data quality scoring.
  • Experience with modern annotation and data platforms such as Labelbox, Scale AI, Prodigy, Argilla, Snorkel, Humanloop, or custom internal tooling.



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