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Part Time Saas Engineer Jobs (NOW HIRING)

Explainable AI Engineer

Palo Alto, CA · On-site +1

$114K - $157K/yr

Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force's 5,000-aircraft ... You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least ...

$100 - $150/hr

... in a part-time capacity. This role is designed for entrepreneurial and technically strong ... engineers, operators, and venture leaders supporting startups focused on AI, SaaS, workflow ...

Studio Employment Type: Part Time Location: Cambridge Compensation: $100.00 - $150.00 / hour ... engineers, operators, and venture leaders supporting startups focused on AI, SaaS, workflow ...

Data Engineer

Escondido, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Chula Vista, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Jamul, CA · On-site

$61K - $141K/yr

... SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Saas Engineer information

What are the most commonly searched types of Saas Engineer jobs? The most popular types of Saas Engineer jobs are:
Infographic showing various Part Time Saas Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 22% Full Time, 73% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Consultant - AI Strategy (SaaS 100 Enterprises)

Consultant - AI Strategy (SaaS 100 Enterprises)

Saviance

Boston, MA • Remote

Part-time

Posted 21 days ago


Job description

Job Title: Consultant - AI Strategy (SaaS 100 Enterprises) Location: Remote / Global Type: Part-Time -Contract About the Role We are seeking an experienced AI Strategy Consultant to advise and support SaaS 100 companies in defining, implementing, and scaling AI-driven initiatives. This role bridges strategic consulting, technical understanding, and business operations, helping enterprise clients identify high-impact use cases, design data and AI roadmaps, and enable measurable business outcomes. You'll work with cross-functional teams-from executives to data scientists-to turn AI potential into tangible business value. Key Responsibilities Strategic Consulting
  • Lead discovery sessions to understand client goals, product ecosystem, and data maturity.
  • Identify high-value AI and automation opportunities across sales, marketing, customer success, and product functions.
  • Develop AI adoption roadmaps aligned with client priorities, infrastructure, and security requirements.
  • Define ROI and success metrics for AI initiatives, ensuring measurable business impact.
  • Conduct AI readiness assessments (people, process, data, technology).
Program Design & Implementation
  • Collaborate with client engineering and data teams to prioritize and execute pilots.
  • Support LLM and GenAI use case design-e.g., customer support automation, intelligent document processing, product recommendations, or predictive analytics.
  • Work with MLOps and engineering leads to outline technical requirements, model lifecycle management, and governance frameworks.
  • Develop AI integration strategies for SaaS ecosystems (Salesforce, HubSpot, Zendesk, ServiceNow, Workday, etc.).
  • Coordinate workshops, training, and change management activities to promote adoption.
Advisory & Communication
  • Advise C-level and product leadership on emerging AI trends and best practices in SaaS environments.
  • Translate complex technical capabilities into actionable business language.
  • Create executive presentations, business cases, and client-ready deliverables.
  • Collaborate with product marketing and partnerships teams to align messaging and AI offerings.
Common Tasks
  • Conduct client interviews and map workflows for automation opportunities.
  • Draft AI vision and strategy decks tailored to enterprise SaaS use cases.
  • Prepare RFPs or proposals for AI projects and pilots.
  • Evaluate vendor tools and APIs for AI enablement (OpenAI, Anthropic, Vertex AI, Azure AI, etc.).
  • Support data governance and ethics assessments for responsible AI deployment.
  • Benchmark competitors' AI maturity and recommend differentiation strategies.
  • Develop and maintain knowledge repositories and AI best practice playbooks.
Qualifications
  • 7+ years in management consulting, SaaS strategy, or digital transformation; 3+ years in AI/ML-related projects.
  • Strong understanding of SaaS architectures, data pipelines, and product lifecycles.
  • Familiarity with LLMs, NLP, predictive analytics, and automation frameworks.
  • Proven experience working with Fortune 500 or SaaS 100 enterprises.
  • Excellent communication and stakeholder management skills, with the ability to influence senior leadership.
  • Experience building business cases and translating technical outputs into ROI-driven narratives.
  • Bachelor's or Master's degree in Business, Computer Science, Data Science, or related field.
Preferred Skills
  • Knowledge of cloud ecosystems (AWS, Azure, GCP).
  • Experience with AI tools such as OpenAI API, Hugging Face, LangChain, Vertex AI, or DataRobot.
  • Exposure to MLOps and AI governance practices.
  • Strong presentation and workshop facilitation skills.
  • Prior consulting experience at firms serving enterprise SaaS clients.

Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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