Engineering Structures Jobs in Windsor California Remote

Project Engineer

Location: Projects in Concord, Hayward & Chico, CA

Salary: $70,000 - $100,000 DOE

Overview

We are seeking a motivated Project Engineer to support both ground-up & rehab and multi-family residential & commercial projects across the Bay Area and Butte County regions. This role offers the opportunity to work with an established general contractor focused on delivering high-quality, community-driven developments including affordable housing and hotel facilities.

The Project Engineer will play a key role in coordinating project documentation, supporting field and office teams, and ensuring projects progress smoothly from preconstruction through closeout. This position is ideal for someone who thrives in a fast-paced environment and is committed to professional growth within the construction industry.

Must Haves

• Bachelor's degree in Construction Management, Engineering, Architecture, or a related field
• Minimum 2–3 years of experience supporting construction projects for a general contractor
• Proven experience working on multi-family residential or similar vertical construction projects
• Strong understanding of construction documents, specifications, and submittal processes
• Proficiency with project management software platforms and Microsoft Office Suite
• Ability to effectively coordinate with project managers, superintendents, subcontractors, and design teams
• Strong organizational skills with the ability to manage multiple tasks in a fast-paced environment
• Excellent written and verbal communication skills
• Ability to interpret and track RFI, ASI, and change order workflows
• Commitment to maintaining project schedules, quality standards, and safety protocols
• Authorization to work in the United States

Nice to Haves

• Experience working on affordable housing developments or hotel construction projects
• Familiarity with construction management software such as Procore, Bluebeam, or similar platforms
• Exposure to preconstruction activities, estimating, or value-engineering processes
• Understanding of California building codes and local permitting requirements
• Experience in the Sacramento or other Northern California construction markets
• Ability to assist with BIM coordination or technology-driven project workflows
• OSHA 30 certification or similar safety training

Responsibilities

• Support the project team in planning, coordinating, and executing multi-family residential and hospitality construction projects
• Review, process, and track submittals, RFIs, change orders, and related project documentation
• Assist with project scheduling, ensuring tasks and milestones remain on track
• Coordinate closely with architects, engineers, consultants, and subcontractors to maintain project continuity
• Prepare meeting minutes, logs, reports, and other project documentation as required
• Assist with site walks, quality control checks, and verification of completed work
• Support procurement processes, including materials tracking and subcontractor onboarding
• Help monitor project budgets and cost events in collaboration with project management
• Ensure all work aligns with safety standards, project specifications, and quality expectations
• Contribute to problem-solving efforts, proactively identifying and resolving project issues
• Facilitate communication between field and office teams to ensure seamless project execution

The Company

A rapidly growing data consultancy founded in 2023 by a former venture-backed biotech VC data/technology leadership team in San Francisco. The firm has already delivered 20+ engagements across tech, healthcare/biotech, finance, energy, real estate, and startups - building complex data platforms, products, and AI-driven systems.

The Role

A hands-on, senior individual contributor role for engineers who still love coding. You'll work in small teams (often 1–3 engineers) to design and build production-grade data platforms, pipelines, and products across industries.

What You'll Work On

• High-impact, fixed-scope builds (e.g., enterprise data marts, complex migrations)
• End-to-end data platform deployments (ETL, warehouses, BI across AWS/Azure/GCP)
• Partnering with startups to build data-intensive products from 0 → 1

What We're Looking For

Hands-on builder

• Actively writing production code today
• Not removed into management or purely architectural roles

Infrastructure ownership

• Personally deployed and operated production systems
• Cloud, CI/CD, scaling, monitoring, reliability

End-to-end ownership

• Taken products from idea → launch → ongoing operation
• Comfortable operating autonomously with stakeholders

True seniority (well beyond 5 years)

• Targeting engineers with meaningful depth and ownership
• Strong preference for backgrounds in smaller, high-ownership environments
• Experience wearing multiple hats (application + infrastructure + deployment)

Why Join

• High autonomy and real technical ownership
• Variety of industries and problems
• Small, elite engineering team
• Opportunity to shape a fast-scaling consultancy

Location: San Francisco (5 days a week on-site)

Salary: $190k-$250k + 10-20% bonus + equity + sign on bonus

Benefits: Full Health, Vision, Dental, Life Insurance, Commuter Benefits, Unlimited Time off, 401k matched.

About the Company

An early-stage AI research lab focused on interpretability, alignment, and reinforcement learning is hiring a Research Engineer. Founded by former frontier-model researchers, the team works directly on model internals and training dynamics to better understand how AI systems reason. The lab runs fast experimental research cycles, building custom tools to explore open-ended questions about model behavior.

About the Role

This role focuses on building the experimental tooling that enables interpretability research. You will develop systems that allow researchers to inspect, measure, and manipulate internal model representations. This is not a production ML or MLOps role — it's for engineers who enjoy building new experimental systems from scratch and working closely with researchers.

Responsibilities

• Build custom RL-style environments and experimental testbeds for interpretability research
• Develop tools for activation tracing and mechanistic interpretability
• Implement probes to detect latent concepts (e.g., deception, goals, uncertainty)
• Prototype activation-level steering methods beyond prompting or fine-tuning
• Collaborate with researchers to rapidly iterate on experiments and tooling

Qualifications

• Strong programming skills in Python
• Experience with ML frameworks such as PyTorch or JAX
• Experience working with deep learning models or LLMs
• Strong software engineering fundamentals and ability to build experimental ML systems

Preferred Skills

• Experience in mechanistic interpretability or alignment research
• Familiarity with reinforcement learning environments
• Background working with model internals, representations, or probing methods
• Research experience (PhD preferred but not required)

Pay range and compensation package

Competitive salary, equity, and benefits.

About Veer

Each year, roughly 10% of an employer's workforce experiences a significant personal event that requires a leave of absence. Once thought of as a compliance risk, leave is now recognized by leading employers as a critical moment in the employee journey.

At Veer, we believe every employee deserves the time and support needed to thrive. We work with HR leaders at leading enterprise employers to transform the leave experience—moving beyond the \"DMV-like\" processes of forms, wait times, and confusion. Our digital and mobile platform guides employees from leave planning through return to work, ensuring a smooth, supportive transition.

The results speak for themselves: higher employee satisfaction, stronger operational effectiveness, and greater business continuity. Today, we're reinventing a $10+ billion industry. Tomorrow, we aspire to help make paid leave a universal human right. We're building Veer for the long term—with the shared commitment of our investors, customers, and partners—and we're doing so as a team grounded in empathy, curiosity, and impact.

About the Role

We're seeking a Senior Implementations Manager to own the end-to-end deployment of our leave experience software platform for enterprise customers. This is a critical role at the intersection of customer success, product, and engineering—you'll be the quarterback ensuring complex implementations are delivered successfully for some of the world's most innovative and admired employers.

You'll be the primary point of contact for large enterprise customers during implementation, managing multiple stakeholders across employee benefits, HR, IT, and legal teams. Given our early stage, you'll work closely with engineering on assigned implementations, translating customer requirements into technical specifications while maintaining project momentum.

As we build toward a truly scalable platform, you'll be instrumental in identifying where AI and automation can replace manual work—we're looking for someone who sees AI as a tool to 10x their impact, not a threat.

Our Implementation Managers are the face of Veer in many ways. They set the tone for the customer relationship and overall success of the product and must provide confident leadership throughout the process.

What you'll do

Project management/leadership

• Serve as day-to-day contact and project manager for enterprise implementations, coordinating across multiple customer stakeholders and internal teams.
• Develop and manage detailed project plans in collaboration with customers and engineering, ensuring on-time delivery.
• Lead implementation kickoff meetings, serving as a change management guide to establish clear goals, set expectations on scope, timeline, responsibilities, and effectively frame the value proposition to drive user adoption.
• Manage multiple active implementations and projects spanning a variety of use-cases, complexity, and customer team size
• Keep key customer stakeholders informed of major milestones, risks, and decisions. Proactively communicate delays or challenges, managing expectations, and aligning on mitigation plans.
• Act as a strategic consultant, guiding customers to the best solutions within the defined project scope to ensure their core business needs are met without compromising delivery milestones.
• Navigate complex organizational structures at large employers, building relationships with leave of absence and disability program managers, IT teams, legal counsel, and executive sponsors.

Leave program expertise

• Demonstrate deep understanding of leave of absence and disability programs—including FMLA, state leave laws (CA, NY, WA, etc.), STD/LTD, and employer-specific policies.
• Gather and document customer requirements, translating customer-specific leave policies and business rules into clear specifications for design and engineering teams.
• Advise customers on best practices for leave experience design and product set-up and configuration.
• Stay up to date on federal, state, and local leave law changes and industry trends, proactively advising customers and internal product teams on potential impacts and necessary product adaptations.

Product configuration & design

• Partner with design team to create mockups and prototypes that reflect the customer's desired employee and administrator experience.
• Lead customer review sessions to refine the product experience and gather feedback that drives product improvements and customer success.
• Balance customer customization requests with product scalability considerations.

Technical coordination

• Work with engineering on product integrations with HRIS systems, benefits administration systems, and third-party administrators.
• Work with product management on customer requests for new features.
• Collaborate with product and engineering teams to identify implementation steps that can be automated or enhanced with AI, building toward a more scalable platform.
• Develop customer UAT test cases and facilitate UAT prior to launch.
• Troubleshoot implementation issues and serve as liaison between customers and technical teams.

Customer enablement

• Design and execute a structured customer communications and enablement playbook to ensure the successful transition from the customer's current state to the post launch future state.
• Create and deliver tailored enablement content.
• Support internal champions at the customer organization to stimulate adoption.
• Host live training sessions or webinars for customer teams and users.
• Formalize the handoff to Customer Success by partnering to create a comprehensive \"Success Plan\" that outlines the customer's business goals, key stakeholders, unique configurations, and potential areas for future growth.

In your first year, you'll:

• Successfully lead 3-5 enterprise implementations from kickoff to launch
• Identify and implement AI-driven automation opportunities that reduce implementation time by 20%+ (e.g., automated requirement gathering, documentation generation, testing scripts, customer communication)
• Build repeatable processes and documentation that reduce engineering dependency over time
• Become a trusted advisor to customer stakeholders on leave program strategy
• Identify product gaps and advocate for improvements based on customer feedback
• Help us scale the implementation function by mentoring future team members

What we are looking for (required)

• 5+ years of experience in enterprise software implementation, project management, or a customer-facing advisory/consulting role in a fast-paced B2B SaaS company
• Enthusiastic about leveraging AI tools to automate repetitive work, scale implementations, and enhance the customer experience. You're constantly asking \"how can we do this faster/better with AI?\" rather than defaulting to manual processes.
• Strong understanding of employee leave and disability policies and programs (STD/LTD, FMLA, state disability, parental and family leave, etc.) and the HR/benefits landscape
• Proven ability to manage and strategically consult on complex, multi-stakeholder enterprise projects with competing priorities
• Excellent communication skills—you can translate between technical and non-technical audiences, effectively advising and influencing senior business stakeholders
• Comfortable working in ambiguous, fast-moving environments where you'll need to build processes from scratch
• Technical aptitude and ability to work closely with engineering teams on integrations and product configuration

Bonus skills

• Direct experience with leave administration, benefits program management, or HRIS implementations
• Familiarity with third-party administrators like Sedgwick, Lincoln, or MetLife
• Experience at an early-stage software company during rapid scaling
• Background in HR technology, specifically absence management, case management, or workflow automation platforms

Why join Veer?

• Meaningful Impact: Transform how millions of employees experience one of the most critical moments in their working lives
• Customer Quality: Work with blue-chip enterprise customers who are committed to improving their leave programs
• Early Team Member: Join at an inflection point—help build the implementation playbook and team as we scale
• Cross-Functional Exposure: Work directly with founders, product, engineering, and design on every implementation
• Ownership: This isn't a handoff role—you'll own implementations from contract signing through go-live and beyond

This is a full-time salaried, exempt position. Compensation ranges from $110,000-$195,000 and is based on your experience and legal state of residence.

Amagi is an Emmy-winning, AI-enabled cloud platform powering the modern video economy. We help media companies unify streaming and broadcast workflows, modernize operations, and maximize monetization—from live remote production and real-time ad decisioning to automated playout and global content syndication.

Our Impact

Trusted by 23 of the world's top 50 listed media companies, Amagi delivers:

• 7,000+ channels across 300+ content distributors
• 500,000+ hours of content processed
• 26 billion+ monetized ad impressions

We power marquee brands including CBS, BBC, Warner Bros. Discovery, NBC, NBA, and DAZN—and the world's biggest events: The Olympics, Super Bowl, The Grammys, and the US Presidential Debate.

Headquartered in Bengaluru with 1,000+ team members across the Americas, EMEA, and APAC, we're redefining how media is created, distributed, and monetized, intelligently and at global scale.

Our identity and mission: Amagi, meaning \"freedom\", is building the world's leading media technology business grounded in purpose and integrity. We balance individual autonomy with collective mission, guided by the Amagi Way. We're creating a workplace where innovation thrives through the harmonious blend of freedom and shared purpose.

Job Profile

Amagi is seeking an exceptional Chief of Staff to serve as a strategic partner and force multiplier to our President of Global Business. This is a high-impact role for someone who thrives at the intersection of strategy and execution in a hyper-growth environment.

The Opportunity

You'll operate at the center of Amagi's global revenue engine: partnering with the President and senior leadership to drive operational excellence, cross-functional alignment, and flawless execution of strategic priorities across revenue, product, engineering delivery, and customer-facing functions spanning the Americas, EMEA, and APAC.

This isn't a traditional staff role. You'll translate ambitious strategy into measurable outcomes by leading mission-critical initiatives, removing organizational friction, and establishing operating rhythms that scale with our growth. You'll be the connective tissue between vision and reality - ensuring the right conversations happen, decisions get made, and execution follows through.

What Success Looks Like

You'll know you're succeeding when:

• Strategic initiatives move from concept to completion with speed and precision across delivery, product, and revenue teams
• Cross-functional collaboration between sales, marketing, CS, product, and delivery becomes smoother and more effective
• The leadership team gains leverage through improved operating cadence and communication
• Critical business metrics accelerate as organizational effectiveness improves
• Product-market alignment strengthens and go-to-market execution sharpens

Who Thrives in This Role

You bring strategic thinking, operational rigor, and hands-on execution experience from a fast-scaling global SaaS or technology environment. You understand the interplay between product development, go-to-market functions, and delivery excellence. You're energized by complexity, comfortable with ambiguity, and skilled at building structure without bureaucracy across diverse functional areas.

Key Responsibilities

Strategic Planning & Execution

• Partner with the President to define, prioritize, and execute strategic initiatives across the business.
• Serve as thought partner on critical business strategy decisions: market expansion, M&A, pricing, product-market fit, competitive positioning
• Drive alignment between regional and functional leaders on annual and quarterly business priorities.
• Translate high-level strategy into clear operating plans, milestones, and measurable outcomes.
• Prepare executive-level materials including business reviews, board presentations, and strategic updates.

Business Operations & Performance Management

• Establish and manage operating cadences including business reviews, KPI dashboards, and leadership forums.
• Own the cadence, agendas, pre-reads, decisions, and follow-through for all leadership forums
• Partner with Finance, RevOps, and Analytics teams to monitor performance, identify gaps, and recommend corrective actions.
• Support planning processes such as annual operating plans, headcount planning, and investment prioritization.
• Drive clarity and accountability across initiatives through structured project management and follow-through.

Cross-Functional Alignment

• Serve as a connective tissue across Sales, Marketing, Partnerships, Customer Success, Product, and Operations.
• Drive strategic programs that don't have a natural owner (e.g., GTM-Product alignment, Delivery transformation, go-to-market for new product line)
• Ensure effective communication and execution across global regions (Americas, EMEA, APAC).
• Partner with functional leaders to remove roadblocks and improve speed of decision-making.
• Manage special projects (eg. due diligence for M&A, post-merger integration, organizational redesign)

Organizational Effectiveness

• Partner with People/HR teams to support leadership development, succession planning, and organizational design.
• Support hiring of senior leaders (participate in interviews, conduct back-channeling, facilitate onboarding)
• Help scale leadership operating models and management rhythms as the company grows globally.
• Foster a culture of accountability, continuous improvement, and high performance.
• Coach and influence senior leaders through data-driven insights and structured problem-solving.

Executive Partnership

• Act as a trusted thought partner to the President on business strategy, organizational design, and execution.
• Support preparation for key internal and external meetings, including executive leadership and board interactions.
• Represent the President in select cross-functional forums and initiatives as needed.
• Anticipate business challenges and proactively surface insights and recommendations.

Skills and Expertise Required

Required

• 10+ years of experience in high-growth technology companies, with progressive responsibility across multiple functions
• Strategy consulting or investment banking pedigree OR GM/operator experience leading P&L or major business unit
• MBA from top-tier program strongly preferred (not required for exceptional operators)
• Multi-functional fluency: Deep understanding of at least 2 of: Revenue/GTM, Product Management, Engineering/Delivery, Business Operations
• Financial acumen: Can build P&L models, analyze unit economics, assess business cases, and speak CFO's language
• Strategic thinking: Track record of shaping business strategy and driving strategic initiatives
• Executive communication: Exceptional written and verbal skills; can craft board memos, strategic narratives, and executive briefings
• Cross-functional leadership: Demonstrated ability to drive results through influence across senior stakeholders
• Organizational savvy: High EQ, political intelligence, ability to navigate complex stakeholder environments
• Bias for action: Comfortable with ambiguity, able to drive decisions and move quickly

Preferred

• Prior Chief of Staff experience to C-suite executive in $100M+ revenue company
• P&L ownership: Prior GM, VP, or business unit leader role with budget responsibility
• International experience: Lived/worked in India or other emerging markets
• M&A experience: Led due diligence, integration, or corporate development
• Board exposure: Prepared board materials or presented to boards
• Technical background: Prior engineering, PM, or technical role (not required but valued)

Base Salary Range: $180,000 – $240,000 USD (annual), plus performance pay incentive. In accordance with local pay transparency laws, this reflects the expected base pay range for this role in the United States. Actual compensation within the range will be determined based on job-related factors such as skills, experience, training, and location.

Total Rewards & Benefits

• Competitive Total Compensation, including base salary, incentive compensation, and equity package.
• Comprehensive Health Coverage including medical, dental, and vision plans
• Retirement Savings Program with a 401(k) employer match of up to 3%
• Paid Time Off (PTO) including four (4) weeks of vacation plus twelve (12) paid company holidays
• Paid Parental Leave for both primary and secondary caregivers
• Flexible Benefits & Protection Programs, including Flexible Spending Accounts (FSA), life insurance, Accidental Death & Dismemberment (AD&D), and short- and long-term disability coverage
• Employee Wellbeing Support, including access to an Employee Assistance Program (EAP)

Amagi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Amagi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Readily Available Interim Customer Support Lead | VC-Backed B2B Healthtech SaaS | Boston (Hybrid)

The Client

This client is an AI-powered healthtech startup born out of a multi-year collaboration between leading academic medical centers and top-tier engineering institutions in Europe. This business has developed patented algorithms and a proprietary clinical database to help practitioners improve ultrasound screening accuracy, reduce diagnostic errors, and optimize care pathways for expectant mothers. With a clear mission to expand access to high-quality women's and children's health outcomes through technology, they are now scaling rapidly across the United States; partnering with major clinical networks and onboarding new health system clients at an accelerating pace.

The Role

This is an opportunity to own and build a support function at a company experiencing hypergrowth in the US market. Reporting to the Director of Operations, this role is for someone who sees a blank slate as an opportunity. The customer base is scaling rapidly and this position will be responsible for building the support function that grows with it. The right candidate will be hands-on, close to the product and customers before building out the systems, tooling, and team capable of sustaining growth without compromising the experience

Responsibilities

• Handle tickets and calls directly to build deep product knowledge and earn customer trust
• Design and implement the core support ticket infrastructure: SLAs, escalation paths, and cross-functional workflows with Engineering and Product
• Optimize the CRM/ticketing environment (automations, reporting, routing) and build out a self-serve knowledge base including FAQs and troubleshooting guides
• Serve as the voice of the customer, translating support patterns and user feedback into actionable product insights
• Define and track key operational KPIs and build automations to drive ongoing efficiency
• Champion team autonomy and maintain quality standards throughout a period of significant scale

What We Need to See (Essential)

• 3-5 years of B2B SaaS experience in Technical Support, Customer Support, or Operations
• Experience in implementing modern support/ticketing platforms (e.g. Zendesk, Pylon or similar)
• Proficiency in maintaining & utilizing ticketing CRMs
• Demonstrated ability to thrive in hypergrowth environments and build processes from zero
• Comfort working across time zones (specifically West Coast)
• Genuine alignment with the company's mission in women's and children's health

What We’d Like to See (Bonus)

• Experience in a healthcare or regulated SaaS environment
• Familiarity with building or scaling a support function at a Series A-C stage company
• Experience with CRM automation and reporting

Location: Hybrid

Package: $60-80 per hour

Duration: 4 months

Our client, a fast growing publicly traded manufacturing company is looking for a Senior Accountant to join. This role will have meaningful responsibility across financial reporting, operational accounting, and process optimization within a multi-entity, global environment.

The ideal candidate is detail-oriented, technically strong in U.S. GAAP, and comfortable operating in a matrixed organization with cross-border collaboration.

Core Responsibilities

Financial Close & Reporting

• Manage critical components of the monthly and quarterly close cycle
• Prepare journal entries, account reconciliations, and analytical reviews
• Perform detailed variance and trend analysis to support reporting accuracy
• Ensure results align with U.S. GAAP and corporate reporting policies

Compliance & Audit Coordination

• Support both internal and external audit activities
• Prepare audit documentation, schedules, and regulatory support files
• Maintain compliance with global accounting standards, including U.S. GAAP and applicable local requirements

Cross-Functional Partnership

• Partner with Operations, Engineering, Product, Tax, Legal, and other internal stakeholders to ensure proper accounting treatment of business activities
• Assist in evaluating complex transactions and operational impacts on financial reporting

Process Optimization & Controls

• Identify opportunities to enhance efficiency across end-to-end accounting workflows
• Contribute to initiatives aimed at improving internal controls and accelerating close timelines
• Collaborate with shared services teams, including offshore support functions, to refine processes and strengthen accountability

Special Projects & Systems

• Provide support for ERP enhancements, system upgrades, and finance transformation initiatives
• Assist in financial modeling, business case analysis, and other ad hoc strategic projects
• Contribute to continuous improvement efforts leveraging technology and automation tools

Qualifications & Experience

• Bachelor's degree in Accounting required; CPA or equivalent certification strongly preferred
• 4+ years of progressive accounting experience
• Background in manufacturing and/or publicly traded environments preferred
• Strong knowledge of U.S. GAAP and corporate reporting standards
• Experience supporting audits and working within structured control environments
• Familiarity with procure-to-pay processes
• Proficiency in Excel; experience with Oracle or comparable ERP systems preferred
• Experience working with shared services or offshore accounting teams preferred
• Ability to manage multiple deadlines in a dynamic, global environment
• Strong analytical mindset with attention to detail and ownership mentality
• Willingness to travel up to 10% (domestic and international)

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor's degree required; an advanced degree is advantageous.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA