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Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Director to VP of Process/Manufacturing & Engineering

Location: Seattle, WA / Reports to: Chief Executive Officer (CEO)

The core of this position is someone who has directly taken a chemical or process manufacturing technology from early stage development through pilot and into commercial production. Specifically someone who has scaled a process based manufacturing system, liquids, heat, pressure, continuous or batch processing, from benchtop or pilot scale to revenue generating commercial scale.

Must have

• Direct experience scaling a process-based manufacturing system from pilot or bench scale to commercial production, ideally with clear quantifiable outcomes.

Strong preference

• Experience doing this scale-up within a startup or resource-constrained environment.
• Background in chemical or process engineering rather than mechanical or discrete manufacturing.
• Experience building operational, quality, and production infrastructure during the early commercialization phase.
• Quantifiable impact metrics around scaling chemical processes. This can take a few different forms, “ X size pilot to first $Y M/yr commercial production" or “Increased production Z%” etc.

Further, someone who has operated across engineering, supply chain, and operations, a true “operations-oriented engineer.” High level of independence and drive, ideally someone who proactively flags risks, pushes timelines, and takes ownership of execution.

This is a senior, execution-focused leader, responsible for translating our technology into safe, reliable, on-spec, and cost-disciplined production at scale via our external partner network. You will own the production and engineering strategy, including leading technology transfer, managing contract manufacturer (CM) performance, and driving EPC execution for facility expansion while working with executive leadership to set the strategy for continuous improvement and a large-scale manufacturing network. You will serve as the primary commercial and technical bridge between internal innovation team and the manufacturing environment. This role requires a leader who is equally comfortable turning a wrench, reviewing P& IDs, negotiating multi-million-dollar MSAs, and acting as the owner’s representative & quote, on major capital projects.

What You’ll Do

1. Strategic Technology Transfer and Scale-up

○ Lead the ‘Bench-to-Plant’ Interface: Manage the technical hand-off from internal development to external partners, ensuring processes are robust, documented, and ready for commercial-scale production.

○ Scale-Up Oversight: Steward production, quality, and throughput during the critical transition from pilot to commercial runs, troubleshooting as necessary

○ Process Integrity: Ensure high standards for quality and yield is maintained when processes leave our internal control and enter our partner network.

○ Manage all aspects of technology transfer from R&D to contract manufacturing partners, driving tonnage-scale, on-spec production.

○ Planning for Velocity: properly scope and strategically plan timelines to maintain a venture backed pace for scale-up

2. Contract Manufacturing Ownership and Commercial Strategy

○ Commercial Negotiation: Lead the negotiation of Master Service Agreements (MSAs), tolling fees, and other manufacturing contracts. You are responsible for structuring deals that align incentives and protect our interests.

○ Partner Management: Serve as the single point of accountability for CM relationships. Set, track, and enforce KPIs for quality, OTIF delivery, and yield.

○ COGs Ownership: Own the external production cost model and rigorously define cost drivers and partner with the finance team to forecast scenarios and define and refine unit economics.

3. EPC Leadership and Scale Up

○ Project Delivery Strategy: Select and manage the appropriate project delivery model (e.g. Design-Bid-Build vs EPCM) and lead the selection of EPC vendors

○ Front-End Definition: Provide rigorous oversight of FEL/FEED stages to lock in scope before capital commitment.

○ Owner’s Representative: Act as primary “Owner’s Rep” for all capital projects, holding external firms accountable for schedule, cost, quality, and safety performance, serving as decision maker of change orders.

○ Own the Build: Oversee the physical execution of facility upgrades or new builds, ensuring a seamless handover to operations.

○ Provide technical input into the strategy of where and how to manufacture product to support business growth

4. Quality, Safety, and Risk Management

○ EHS Compliance: Audit and enforce safety standards at CM and any external sites where we are operating.

○ Supply Chain Risk: Identify point of failure in our external network and develop contingency plans for capacity and logistics

○ Quality: Own and maintain Ravel’s quality management framework, including oversight of SOPs, documentation, and continuous improvement across internal operations and external partner.

What You’ll Bring

● B.S. or M.S. in Chemical Engineering, Process Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Chemistry or a closely related discipline, or equivalent experience gained through progressive responsibility in manufacturing operations. A PhD or MBA is a strong plus.

● 10+ years’ experience in chemical/process manufacturing, technology transfer, and/or contract manufacturing at pilot or commercial scale.

● Capital Projects Fluency: Demonstrated experience acting as the “Owner” on a capital project ($20M+). You understand the difference between FEL 1/2/3 and know how to control TIC.

● Commercial Acumen: Strong experience negotiating tolling agreements, joint development agreements, and construction contracts. You know how to structure a deal to protect IP and cash risk.

● Technical Authority: Ability to read PFDs/P&IDs and challenge engineering partners on design.

● Willingness to Travel: This role requires being present where the work is, at CMs and construction sites (approx 30-50% travel)

This is an opportunity to own manufacturing strategy and execution at a company scaling breakthrough technology into the real world. You will shape how we manufacture globally, with executive-level accountability for cost, quality, delivery, and facilities, and play a central role in the company’s next phase of growth.

Join a passionate, visionary team as we build a future where textile production and consumption are part of a sustainable, closed-loop system.

Traits and Characteristics:

● Hustle

● Team player (our team)

● Positive attitude

● 100% integrity

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

You will be a key member of the NFQE (Non Functional QE) team that drives the performance reliability of Cloudera's Kuberneteshosted data services. The role blends deep technical knowledge of performance testing, distributed data workloads, and container orchestration with a datadriven mindset. You'll design, automate, run, and analyze performance tests for Cloudera's flagship services, ensuring they meet or exceed customerdefined SLOs/SLAs at scales.

As a Performance Engineer, you will:

• Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse and Data Engineering stack.

• Work with product managers, developers and the field team to understand performance and scale requirements, and develop benchmarks based on these requirements.

• Develop automation to execute benchmarks, collect and aggregate metrics and profiles, and report results, trends, and regressions.

• Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems.

• Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions.

• Evaluate performance of systems and provide related guidance to the team.

We are excited about you if you have:

• 3 + years of industry experience in performance-related work, ideally on large-scale distributed systems

• Understanding of DBMS algorithms and data structure fundamentals.

• Understanding of hardware trends and full-stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, and distributed systems performance.

• Understanding of performance analysis tools and techniques.

• Strong design, coding skills, and test automation skills (Java/C++/Golang/Python preferred)

• Knowledge of relevant frameworks, cloud provider knowledge, K8s, etc.

• Ability to work in a distributed setting with team members spread in multiple geographies

• Demonstrated ability to work on large cross-functional projects, including strong written communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera.

• Experience with benchmark and performance test design. You eshould understand basic concepts of performance testing including different types of performance tests (microbenchmarks, end-to-end benchmarks, concurrency and scale testing), how to reduce (or deal with) noise in test results, etc.

• Experience designing performance tests that provide useful insights into specific aspects of performance.

• Solid understanding of basic performance theory - in particular a very good understanding of latency, throughput, and concurrency and how they relate to each other.

• Strong understanding of the types of workloads they'll be testing Ideally they should have specific experience creating performance tests for the specific product area they'll be working on (SQL, ML, etc).

• B.S. or M.S. in Computer Science or equivalent experience.

You might also have:

• Experience with the Hadoop ecosystem (i.e. Hive, Impala, Spark), in specific Prior work on largescale data lakehouse or datawarehouse performance

• Hands-on experience with containerization, Kubernetes, public cloud infrastructure (AWS, Azure and/or GCP) and mesh-networks

• Certifications: CKA/CKAD, AWS Solutions Architect, GCP Cloud Architect, Azure Solutions Architect, or equivalent.

• Security & Compliance: Experience writing performance tests that also verify dataprivacy and audit compliance (e.g., GDPR, HIPAA).

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This position is not eligible for sponsorship.

The expected base salary range for this role in:

• California is $124,000 - $155,000

The salary will vary depending on your job-related skills, experience and location.

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

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Position Type: Full-Time
Average Hours: 30-35 hours per week
Starting Wage: $22.50 - $26.50 per hour (based shift and schedule differential pay)

Now Hiring:

1st Shift - 7:00AM start time
2nd Shift - 3:00PM start time
Outbound (Shipping)
Schedule(s): B

Schedules:

1st Shift:

Schedule A1: Working Wednesday, Thursday, Friday, Saturday and Sunday; off on Monday and Tuesday.
Pay Scale: Year 1 - $26.50 | Year 2 - $27.25 | Year 3 - $28.00 | Year 4 - $28.00 | Year 5 - $29.00

Schedule A2: Working Friday, Saturday, Sunday, Monday and Tuesday; off on Wednesday and Thursday.
Pay Scale: Year 1 - $26.50 | Year 2 - $27.25 | Year 3 - $28.00 | Year 4 - $28.00 | Year 5 - $29.00

Schedule B: Three-week rotating schedule working Saturday and Sunday 2 of every 3 weeks. When scheduled to work on Saturday and Sunday, 2 consecutive weekdays will be scheduled off.
Pay Scale: Year 1 - $24.50 | Year 2 - $25.25 | Year 3 - $26.00 | Year 4 - $26.00 | Year 5 - $27.00

Schedule C: Four-week rotating schedule working Saturday and Sunday every other weekend. When scheduled to work on Saturday and Sunday, 2 weekdays will be scheduled off.
Pay Scale: Year 1 - $23.50 | Year 2 - $24.25 | Year 3 - $25.00 | Year 4 - $25.00 | Year 5 - $26.00

Schedule D: Working Monday, Tuesday, Wednesday, Thursday and Friday; off on Saturday and Sunday.
Pay Scale: Year 1 - $22.50 | Year 2 - $23.25 | Year 3 - $24.00 | Year 4 - $24.00 | Year 5 - $25.00

2nd Shift:

Schedule A1: Working Wednesday, Thursday, Friday, Saturday and Sunday; off on Monday and Tuesday.
Pay Scale: Year 1 - $28.50 | Year 2 - $28.25 | Year 3 - $29.00 | Year 4 - $29.00 | Year 5 - $30.00

Schedule A2: Working Friday, Saturday, Sunday, Monday and Tuesday; off on Wednesday and Thursday.
Pay Scale: Year 1 - $28.50 | Year 2 - $28.25 | Year 3 - $29.00 | Year 4 - $29.00 | Year 5 - $30.00

Schedule B: Three-week rotating schedule working Saturday and Sunday 2 of every 3 weeks. When scheduled to work on Saturday and Sunday, 2 consecutive weekdays will be scheduled off.
Pay Scale: Year 1 - $26.50 | Year 2 - $26.25 | Year 3 - $27.00 | Year 4 - $27.00 | Year 5 - $28.00

Schedule C: Four-week rotating schedule working Saturday and Sunday every other weekend. When scheduled to work on Saturday and Sunday, 2 weekdays will be scheduled off.
Pay Scale: Year 1 - $25.50 | Year 2 - $25.25 | Year 3 - $26.00 | Year 4 - $26.00 | Year 5 - $27.00

Schedule D: Working Monday, Tuesday, Wednesday, Thursday and Friday; off on Saturday and Sunday.
Pay Scale: Year 1 - $24.50 | Year 2 - $24.25 | Year 3 - $25.00 | Year 4 - $25.00 | Year 5 - $26.00

ALDI offers competitive wages and benefits, to all employees including:

• 401(k) Plan
• Company 401(k) Matching Contributions
• Employee Assistance Program (EAP)
• PerkSpot National Discount Program

In addition, full-time employees are offered:

• Medical, Prescription, Dental & Vision Insurance
• Generous Vacation Time & 7 Paid Holidays
• Up to 6 Weeks Paid Parental Leave at 100% of pay
• Up to 2 Weeks Paid Caregiver Leave at 100% of pay
• Short and Long-Term Disability Insurance
• Life, Dependent Life and AD&D Insurance
• Voluntary Term Life Insurance

*Full-time employees average 30 or more hours per week within an annual lookback period

**Benefits offered to full-time and part-time employees may vary by state

ALDI is committed to equal opportunity for all employees and applicants. As a proud Equal Opportunity Employer (EOE), we do not discriminate based on race, color, national origin, ancestry, citizenship status, religion, sex, sexual stereotyping, sexual orientation, gender, gender identity, gender expression, age, marital status, mental or physical disability, medical condition, genetic information, military or veteran status, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other protected characteristic. Employment may be contingent upon ALDI's receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law.

Senior Director, Process Engineering & Contract Manufacturing Scale-Up

Location: Durham, NC (In-Office) 

Reports To: SVP Operations

Applying

To apply directly to this role, please email a non-ChatGPT paragraph explaining why you believe you would be the best fit for this role and attach your resume as a PDF. Applying via email is the only way to be considered.

About Carpe

Carpe is the fastest-growing deodorant brand in the United States. Our team is composed of ~25 incredibly smart people working together in person in downtown Durham, NC. Our office is open, collaborative, and high energy.

We build products that solve real problems for millions of people who struggle with excessive sweating. Our growth over the past several years has been rapid, and we are continuing to expand across retail, ecommerce, and new product categories.

As the company scales, building a strong, reliable, and scalable manufacturing foundation is critical to our long-term success.

The Role

We are seeking a high-ownership process engineering leader with a strong chemical engineering background who thrives in fast-growing environments and enjoys building systems that support scale. This is not a procurement or vendor management role. It is a technical manufacturing role focused on process engineering, scale-up, and improving manufacturing performance.

This role exists to build Carpe’s manufacturing process engineering capability as we expand production across multiple product categories and manufacturing partners. The primary focus is on developing robust, scalable processes that consistently deliver product performance.

This is a hands-on technical role. You will work directly with manufacturing teams to define critical process parameters, troubleshoot production challenges, and improve process reliability as we scale.

You will partner closely with Product Development, Operations, and Quality to translate product innovation into well-defined, scalable manufacturing processes. Success in this role requires the ability to develop long-term process engineering frameworks while also working directly with manufacturing teams to solve technical challenges and improve production performance.

What You’ll Do

Process Engineering & Manufacturing Science

• Build and lead Carpe’s internal manufacturing process engineering capability
• Work directly with contract manufacturing teams to document and refine production processes
• Identify and define critical process parameters that drive product consistency and performance
• Lead process characterization work, including DOE design and execution
• Improve process robustness and repeatability across manufacturing partners
• Troubleshoot complex manufacturing challenges and support manufacturing teams in solving production issues
• Drive continuous improvement initiatives across manufacturing operations

Technology Transfer & Product Scale-Up

• Lead the technical transfer of new products from development into commercial manufacturing
• Work directly with contract manufacturers to scale formulations and processes successfully
• Partner closely with Product Development to translate product specifications into scalable manufacturing processes
• Oversee pilot trials, validation runs, and commercialization readiness for new product launches
• Ensure new products are successfully and reliably launched across manufacturing partners

Manufacturing Performance & Continuous Improvement

• Establish operational metrics and performance tracking across contract manufacturing partners
• Improve manufacturing efficiency, yield, and process reliability
• Lead root cause investigations and corrective actions related to manufacturing issues
• Implement stronger process control and operational discipline across manufacturing partners
• Develop scalable manufacturing frameworks that support continued company growth

Cross-Functional Collaboration

• Partner closely with Product Development to ensure manufacturing processes support product performance requirements
• Collaborate with Quality and Regulatory to ensure manufacturing processes meet compliance and quality standards
• Work with supply chain and planning teams to support production scheduling and inventory needs
• Provide manufacturing insight during product development and innovation planning

Contract Manufacturing Leadership

• Own and manage Carpe’s network of contract manufacturing partners
• Build strong working relationships with technical teams at manufacturing partners
• Improve operational performance across quality, delivery, and cost
• Lead onboarding and qualification of new manufacturing partners as capacity expands
• Ensure manufacturing partners are prepared to support both current production and future growth
• Serve as the primary operational leader responsible for manufacturing performance across the network

Who You Are

• Bachelor’s degree in Chemical Engineering, Manufacturing Engineering, or a related technical discipline
• 10–15+ years of experience in manufacturing, process engineering, or operations leadership within consumer packaged goods, personal care, or related industries
• Experience with emulsions, OTC personal care, or topical formulation manufacturing
• Experience managing contract manufacturing networks and external production partners
• Strong technical background in manufacturing processes and scale-up
• Experience working with highly structured emulsions or shear-sensitive formulations
• Demonstrated ability to build systems, processes, and infrastructure in growing organizations
• Comfortable operating in fast-moving environments where both strategy and hands-on execution are required
• Willing and able to travel a lot (and last minute) 
• Strong engineering instincts and problem-solving ability
• Ability to work directly with manufacturing partners to improve processes and solve technical challenges

Bonus If You Have

• Background in manufacturing engineering or process engineering leadership roles
• Experience scaling products across multiple contract manufacturing sites
• Experience building manufacturing infrastructure in high-growth CPG environments

What You’ll Get

• Direct collaboration with senior leadership as we scale the business
• Opportunity to build and own Carpe’s manufacturing infrastructure during a major growth phase
• Competitive compensation based on experience and level
• Health, vision, and dental coverage
• Flexible PTO
• A front-row seat to the growth of one of the most disruptive brands in body care



Applying

To apply directly to this role, please email a non-ChatGPT paragraph explaining why you believe you would be the best fit for this role and attach your resume as a PDF. Applying via email is the only way to be considered.

Location: Durham, NC (In-Office)

Department: Operations

Reports To: SVP Operations

Applying

To apply directly to this role, please email a non-ChatGPT paragraph explaining why you believe you would be the best fit for this role and attach your resume as a PDF. Applying via email is the only way to be considered.

About Carpe

Carpe is the fastest-growing deodorant brand in the United States. Our team is composed of ~25 incredibly smart people working together in person in downtown Durham, NC. Our office is open, collaborative, and high energy.

We build products that solve real problems for millions of people who struggle with excessive sweating. Our growth over the past several years has been rapid, and we are continuing to expand across retail, ecommerce, and new product categories.

As the company scales, building a strong, reliable, and scalable manufacturing foundation is critical to our long-term success.

The Role

We are seeking a high-ownership manufacturing leader with a strong chemical engineering or process engineering background who thrives in complex, fast-growing environments and enjoys building systems that support scale.

This role exists to build and lead Carpe’s contract manufacturing and process engineering capability as the company rapidly expands production across multiple product categories and retail partners.

While this role carries meaningful strategic responsibility, it is also deeply operational and hands-on. You will work directly with contract manufacturers to strengthen processes, improve manufacturing performance, and ensure Carpe products are produced consistently and reliably at scale.

This is a build-and-own role, not a delegation role. You will engage directly with the technical teams at contract manufacturing partners, travel up to 50% as needed, and work hands-on to improve processes, troubleshoot manufacturing challenges, and scale production.

You will partner closely with Product Development, Operations, Quality, and Supply Chain to translate product innovation into robust, scalable manufacturing processes.

Success in this role requires the ability to operate at multiple levels simultaneously—driving long-term manufacturing strategy while also working directly with manufacturing partners to solve technical challenges and strengthen operational performance.

What You’ll Do

Contract Manufacturing Leadership

●     Own and manage Carpe’s network of contract manufacturing partners

●     Build strong working relationships with technical teams at manufacturing partners

●     Improve operational performance across quality, delivery, and cost

●     Lead onboarding and qualification of new manufacturing partners as capacity expands

●     Ensure manufacturing partners are prepared to support both current production and future growth

●     Serve as the primary operational leader responsible for manufacturing performance across the network

Process Engineering & Manufacturing Science

●     Build and lead Carpe’s internal manufacturing process engineering capability

●     Work directly with contract manufacturing teams to document and refine production processes

●     Identify and define critical process parameters that drive product consistency and performance

●     Lead process characterization work, including DOE design and execution

●     Improve process robustness and repeatability across manufacturing partners

●     Troubleshoot complex manufacturing challenges and support manufacturing teams in solving production issues

●     Drive continuous improvement initiatives across manufacturing operations

Technology Transfer & Product Scale-Up

●     Lead the technical transfer of new products from development into commercial manufacturing

●     Work directly with contract manufacturers to scale formulations and processes successfully

●     Partner closely with Product Development to translate product specifications into scalable manufacturing processes

●     Oversee pilot trials, validation runs, and commercialization readiness for new product launches

●     Ensure new products are successfully and reliably launched across manufacturing partners

Manufacturing Performance & Continuous Improvement

●     Establish operational metrics and performance tracking across contract manufacturing partners

●     Improve manufacturing efficiency, yield, and process reliability

●     Lead root cause investigations and corrective actions related to manufacturing issues

●     Implement stronger process control and operational discipline across manufacturing partners

●     Develop scalable manufacturing frameworks that support continued company growth

Cross-Functional Collaboration

●     Partner closely with Product Development to ensure manufacturing processes support product performance requirements

●     Collaborate with Quality and Regulatory to ensure manufacturing processes meet compliance and quality standards

●     Work with supply chain and planning teams to support production scheduling and inventory needs

●     Provide manufacturing insight during product development and innovation planning

Who You Are

●     Bachelor’s degree in Chemical Engineering, Manufacturing Engineering, or a related technical discipline

●     10–15+ years of experience in manufacturing, process engineering, or operations leadership within consumer packaged goods, personal care, or related industries

●     Experience managing contract manufacturing networks and external production partners

●     Strong technical background in manufacturing processes and scale-up

●     Experience working with highly structured emulsions or shear-sensitive formulations

●     Demonstrated ability to build systems, processes, and infrastructure in growing organizations

●     Comfortable operating in fast-moving environments where both strategy and hands-on execution are required

●     Willing and able to travel a lot (and last minute)

●     Strong engineering instincts and problem-solving ability

●     Ability to work directly with manufacturing partners to improve processes and solve technical challenges

Bonus If You Have

●     Experience with emulsions, OTC personal care, or topical formulation manufacturing

●     Background in manufacturing engineering or process engineering leadership roles

●     Experience scaling products across multiple contract manufacturing sites

●     Experience building manufacturing infrastructure in high-growth CPG environments

What You’ll Get

●     Direct collaboration with senior leadership as we scale the business

●     Opportunity to build and own Carpe’s manufacturing infrastructure during a major growth phase

●     Competitive compensation based on experience and level

●     Health, vision, and dental coverage

●     Flexible PTO

●     A front-row seat to the growth of one of the most disruptive brands in body care

Applying

To apply directly to this role, please email a non-ChatGPT paragraph explaining why you believe you would be the best fit for this role and attach your resume as a PDF. Applying via email is the only way to be considered.

Please note that this role is primarily remote with some onsite time.

POSITION SUMMARY:

The Enterprise Agility Coach will be responsible for training, coaching, and mentoring at the Portfolio and Program levels for scaling Agile. In this capacity, the EAC will partner with the EPMO leader to develop best practices for guiding the Information Technology Group and Business Leadership towards their transformation to business agility.

Will need a broad, solid understanding of, and provides expertise in, the areas of:

Lean Thinking

Scaling Agile principles and practices

Systems Thinking

Organizational Design for Agile

Organizational Change Management

Lean Budgeting

Agile Portfolio/Program Management

Working in partnership with the EPMO leader and other leaders to support the shift from a project-centric to a product-oriented operating model

Serves as a role model and change champion for applying Lean & Agile principles and practices.

Will leverage a variety of coaching, mentoring, and training styles to drive Agile adoption throughout the organization and assist with the realization of organizational transformation success metrics.

PRIMARY RESPONSIBILITIES:

Working with organizational structures and culture to develop leaders, build formidable team culture, and grow technical practices to promote agility.

Leverage various coaching styles to create high performing Agile Program and Portfolio Teams

Advise on Agile Transformation at the Program and Portfolio Levels

Provide training on foundational Agile and Scaling Agile principles and practices to ITG and Business Leaders

Coach Program and Portfolio teams in adoption, reinforcement, and continuous improvement of Agile and Scaling Agile practices. Note: While this will follow core SAFe practices, the ideal coach will bring a well-rounded, holistic approach to fostering and championing agility across the organization.

Provide role-based training to the following, yet not limited to:

• Lean Portfolio Managers and Teams
• Agile Portfolio and Program Managers
• Product Owners
• Epic Owners
• Scrum Masters
• Release Train Engineers

Provide Strategic Guidance in Program and Portfolio formation, operation, and in overcoming organizational impediments.

Coach Value Stream Mapping and Agile Release Train Identification.

Coach Agile Release Train formation, launch and execution.

Establish and empower Communities of Practice.

Coach, mentor, and train leadership in creating a culture of continuous learning and improvement.

Partner with and manage Team Coaches

Create Agile training, workshop materials, and job aids.

Assess Program and Portfolio maturation and provide feedback to teams on progress.

ESSENTIAL SKILLS:

Must be a Servant Leader with a high degree of emotional intelligence

Demonstrated servant and influential leadership

Ability to work as a team and effectively work to reduce silos will be critical to the success of this position

Excellent communication and people skills to collaborate effectively with leaders, teams, and third-party vendors

Strong negotiation skills and ability to build common ground

Strong organization and time management skills

Strong conflict resolution skills

Strong presentation, training, and facilitation skills

Change agent not afraid to challenge the status quo with proven record of driving change through an organization at scale

Skilled at crafting thought-provoking questions to reinforce team learning

Good listening skills, openly give, and receive honest feedback

TECHNICAL SKILLS:

5+ years of experience coaching Agile teams in various methodologies (i.e., Scrum, Kanban, XP, etc.)

3+ years of experience coaching Agile transformations at scale in large organizations while working with Program and Portfolio teams.

BA/BS or equivalent experience

Preferred Coaching Certifications:

Agile Team Facilitator (ICP-ATF)

Agile Coach (ICP-ACC)

Preferred Agile Certifications:

SAFe Program Consultant (SPC)

Certified Scrum Master (CSM)

Certified Scrum Product Owner (CSPO)

Experience in creating and delivering Agile training content, workshop materials, and job aids at the Program and Portfolio levels.

Experience in Agile and Scaling Agile transformations with proven history successfully maturing Program and Portfolio teams to independence.

Solid knowledge and experience in applying Lean Thinking, Systems Thinking and Change Management principles and practices.

Experience with multiple agile tools and leveraging them to run Agile and Scaling Agile initiatives. (e.g., Jira, TargetProcess, etc.)

We would love to have you join our team! ECCO Select is committed to hiring and retaining a diverse workforce. ECCO Select’s policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category.

Equal Employment Opportunity is The Law

This Organization Participates in E-Verify

Lead Cloud Infrastructure Architect (Hybrid Cloud / Data Centre)

Culver City, CA (Hybrid)

$140,000 – $170,000 + Benefits

Industry: Media / Enterprise Technology

Full-time W2 | 10+ years Cloud & Infrastructure Architecture Experience

This is a high-impact infrastructure leadership role sitting at the heart of a major enterprise transformation.

You’ll take ownership of a large-scale hybrid estate spanning cloud and on-prem environments driving strategy, modernisation, and operational excellence across mission-critical systems.

This is not a support role.

This is ownership, influence, and decision-making at scale.

What You’ll Be Doing

• Define and execute cloud & infrastructure strategy across AWS / Azure / GCP
• Own hybrid architecture (cloud + data centre) at enterprise scale
• Lead large-scale migrations, modernisation & automation initiatives
• Act as the technical authority (SME) across infrastructure
• Drive high availability, resilience & disaster recovery strategy
• Oversee data centre operations, performance & optimisation
• Influence senior stakeholders and business-critical decisions

What We’re Looking For

• 10+ years in cloud / infrastructure architecture or leadership roles
• Deep expertise across:
• Cloud (AWS, Azure or GCP)
• Data centre technologies (compute, storage, networking, virtualization)
• Proven experience in hybrid cloud environments
• Strong background in cloud migration & infrastructure transformation
• Experience leading teams or acting as a technical authority
• Solid understanding of:
• Security & compliance
• High availability / disaster recovery
• Enterprise-scale infrastructure

Nice to Have

• Infrastructure as Code (Terraform, CloudFormation, Ansible)
• Scripting (Python, PowerShell, Bash)
• DevOps / automation exposure
• Experience with large-scale transformation programmes

Why This Role

• Own and shape enterprise-wide infrastructure strategy
• Work across cloud, data centre, and hybrid environments
• High visibility with senior stakeholders
• Drive real transformation, not just BAU
• Be the go-to expert in a complex, large-scale environment

If you’re currently operating as a Cloud / Infrastructure Architect or Lead, and want a role where you can actually influence strategy and drive change at scale, this is it.