Deployed Transformation Engineer Job at avisbudgetgroup (Parsippany)

Lead Deployed Transformation Engineer

As the Lead Deployed Transformation Engineer, you will play a key role in drivin...

Location

United States , Parsippany

Salary:

125000.00 - 155000.00 USD / Year

avisbudgetgroup

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in an engineering field such as Computer Science, Data Science, Operations Research, Physics
3+ years of professional experience solving complex, real-world problems in a customer-facing or business-facing environment using technology and data-driven approaches
Demonstrated ability to lead development of end-to-end software products — from concept through design, deployment, and scaling
Proficiency in Python, Java, or TypeScript/JavaScript and familiarity with modern frameworks and development tools
Proven track record of engaging directly with business stakeholders, translating complex requirements into actionable solutions
Excellent communication skills
able to bridge technical and non-technical discussions effectively
Comfortable working in ambiguous, fast-paced environments and prioritizing for maximum business impact
Willingness to travel 10–25% to collaborate with field teams and support deployments

Job Responsibility

Build solutions that are intuitive, reliable, and truly adopted by end users – ensuring the tools you create deliver real value in day-to-day operations
Collaborate with business and operations teams to understand workflows, identify opportunities for improvement, and define technical requirements
Lead technical solution development for complex business challenges, from concept through deployment
Improve and build upon existing production systems, guiding the team through operationally engrained workflows and enhancements
Provide technical guidance and mentorship to junior engineers and other team members, fostering best practices in design and development
Ensure scalability and sustainability of solutions by working with IT and enterprise technology teams to move from prototypes to production
Support user adoption through clear documentation, training, and communication

What we offer

Paid time off
401K retirement plan with company matched contributions
Access to Medical, Dental, Vision, Life and Disability insurance
Eligible to elect other voluntary benefits including: Group Legal, Identity Theft, Insurance, FSA, additional life insurance coverages
Contribute up to $260 as a tax free benefit for public transportation or parking expenses
Employee discounts, including discounted prices on purchase of Avis / Budget cars
Access to an Employee Assistance Program for services including counseling, financial and legal consultation, referrals for care service, and more

Fulltime

Head of Forward-Deployed Engineering, DaaS

In this role, you will build and lead our forward-deployed engineering (FDE) tea...

Location

United States , New York City; Redwood City; San Francisco

Salary:

220000.00 - 330000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

7+ years of experience in applied data or ML engineering roles
2+ years leading high-performing technical teams in hands-on management capacity
Demonstrated success in customer facing roles, with a strong enthusiasm for data pipelines and LLM-based workflows
Proven track record of managing technical field teams in fast-paced, delivery-focused environments with competing priorities
Experience as a player-coach—comfortable being hands-on while supporting and scaling the team
Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders
Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)

Job Responsibility

Build and lead the Forward Deployed Engineering DaaS organization, setting a clear vision, defining the operating model and scaling its impact across Snorkel’s Expert Data-as-a-Service workflows
Build, mentor, and motivate high performing teams, including cultivating skills and culture needed to consistently deliver exceptional outcomes and transformative impact
Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling and data generation, quality estimation, and data-centric feedback loops that guide human input
Partner with customers - including research and engineering teams at Frontier AI Labs - to scope requirements for complex, novel AI datasets and translate needs into delivery-ready workflows
Develop robust systems for request intake, task orchestration, SLA tracking, and progress monitoring to ensure seamless execution and prevent critical delivery gaps
Collaborate cross-functionally with research and engineering teams to innovate, develop, and productionize HITL data generation methods, advanced quality techniques, and improve internal delivery tooling
Drive continuous improvement by developing reusable workflows, surfacing operational insights, and enabling the organization to scale faster while maintaining high quality

What we offer

Equity in the form of employee stock options
Reasonable accommodation for individuals with disabilities

Fulltime

Staff Software Engineer, Forward Deployed

As a Staff Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact...

Location

United Kingdom , London

Salary:

Not provided

Invisible Technologies

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python and experience with ML/LLM frameworks such as Hugging Face, LangChain, OpenAI, Pinecone, etc.
Familiarity with full-stack or API-based deployment patterns (Docker, FastAPI, Kubernetes, GCP/AWS)
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
Be willing to be on-call for our customers when situations ari
Ability to travel roughly 25–50 % of the time, sometimes short-notice trips—primarily across Europe with occasional international roll-outs—to work directly on-site with clients

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

Bonuses and equity are included in offers above entry level

Fulltime

Principal Backend Engineer, Forward Deployed

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-im...

Location

United States , Austin; New York; San Francisco Bay Area; Washington DC–Baltimore

Salary:

225000.00 - 370000.00 USD / Year

Invisible Technologies

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, including significant time spent building data, ML, or backend systems
Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
Experience building usable systems from messy data and ambiguous requirements
Excellent communication and client-facing skills
you’ve led conversations with technical and non-technical stakeholders alike
Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments

Job Responsibility

Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
Build shared infrastructure, reusable components, and internal playbooks to level-up the team
Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What we offer

bonus
equity

Fulltime

Pam engineer iam transformation

As an IAM PAM Engineer, you’ll be responsible for designing, implementing, and m...

Location

Netherlands , Amsterdam

Salary:

Not provided

Riverflex

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related field
Minimum of 3 years’ experience as a PAM Engineer, Cloud Security Engineer, or IAM Engineer in enterprise environments
Strong expertise in Microsoft Entra ID PIM and/or CyberArk
Proficient with Terraform for building reusable IAM/PAM infrastructure
Familiarity with Azure Cloud Services, including RBAC, Conditional Access, and Identity Governance
Experience with CI/CD automation using GitHub and GitHub Actions
Solid understanding of security principles, compliance standards, and identity lifecycle management
Experience working within hybrid (on-prem and cloud) environments
Excellent communication skills in English

Job Responsibility

Design, implement, and manage Privileged Access Management solutions using Microsoft Entra ID PIM and CyberArk
Define and maintain PAM processes and workflows for privileged account lifecycle management, access elevation, approvals, and monitoring
Build Infrastructure-as-Code (IaC) components with Terraform to automate and standardize PAM infrastructure and policies
Develop CI/CD pipelines using GitHub Actions for deployment and configuration automation
Integrate PAM with broader IAM services (Entra ID, SailPoint, Azure AD groups, RBAC)
Support application and infrastructure teams with onboarding, access modeling, role mapping, and policy configuration
Configure Azure RBAC policies and Conditional Access scenarios for privileged identities
Monitor PAM usage, report on security events, and contribute to audits and compliance activities
Advise on continuous improvements to privileged access processes, with a strong focus on automation and security best practices
Troubleshoot and optimize PAM functionality across hybrid environments

What we offer

Competitive market hourly rate, depending on experience
Flexible working hours and hybrid setup
A collaborative and forward-thinking technology culture

Fulltime

Head of Automation, Analytics & Process Engineering

Senior transformation leader role within the Process and Operations Transformati...

Location

United States , Frisco

Salary:

155500.00 - 376000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

12+ years in business transformation, operational excellence, or related fields
Leadership of multi-disciplinary teams
Demonstrated success in creating and executing enterprise-level transformation strategies with measurable results
Skilled in balancing innovation with disciplined execution and benefit tracking
Adept at navigating complex, matrixed organizations and driving change at scale
Proven experience leading cross-functional transformation programs in a global enterprise
Expertise in process engineering, automation strategy, and analytics
Strong strategic planning and prioritization skills
Exceptional stakeholder engagement skills
Experience managing large, diverse teams across disciplines and geographies

Job Responsibility

Serve as senior point of contact for automation, analytics, and process engineering with executive leadership
Define and lead formalized strategy for identifying, evaluating, and prioritizing transformation opportunities
Oversee and inspire a large, multidisciplinary team
Own the Value Realization program for the business unit
Guide design and deployment of automation, analytics, and process optimization solutions
Establish governance and oversight structures
Build and maintain strong relationships with senior stakeholders
Ensure continuous capability growth by adopting emerging tools and technologies

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficient in Python and ML frameworks, including PyTorch and XGBoost
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills that support effective collaboration across our global engineering organization
Equivalent practical experience or a Bachelor’s degree in a related field

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization, mentoring senior engineers
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Equity rewards
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

Canada

Salary:

206000.00 - 256000.00 CAD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficiency in Python and ML frameworks, including PyTorch and XGBoost
Experience with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Deployed Transformation Engineer

avisbudgetgroup

Location:
United States , Parsippany

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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Job Description:

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Additional Information:

Job Posted:December 06, 2025

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Job Posted:
December 06, 2025