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Staff Software Engineer, Observability
Salary not disclosed
San Francisco, CA 4 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're seeking an exceptional Staff Software Engineer to join our Observability team at Pinterest. This role combines deep technical expertise in distributed systems and data engineering with a product-oriented mindset to build world-class observability solutions that empower our engineering organization.As a Staff Engineer on the Observability team, you'll be responsible for designing and building the infrastructure and tools that provide visibility into Pinterest's large-scale distributed systems, helping thousands of engineers understand, debug, and optimize their services.


What you'll do:



  • Define and execute the observability roadmap, treating it as a product. Understand engineering team needs and translate them into technical solutions with measurable impact.
  • Architect, build, and scale distributed observability infrastructure (metrics, logs, traces) to handle massive volumes across Pinterest's distributed systems.
  • Build high-performance data pipelines and storage for real-time and historical telemetry analysis at Pinterest scale.
  • Champion Best Practices: Establish observability standards and patterns across the organization, making it easy for teams to instrument their services and gain actionable insights
  • Technical Leadership: Mentor engineers, lead architectural reviews, and influence technical decisions across teams to improve overall system reliability and performance
  • Cross-functional Collaboration: Partner with SRE, Infrastructure, Product Engineering, and other teams to understand pain points and deliver solutions that improve developer productivity and system reliability
  • Innovation: Stay current with observability trends and technologies, evaluating and adopting cutting-edge tools and techniques to keep Pinterest at the forefront

What we're looking for:



  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Product Mindset: Demonstrated ability to work backwards from customer needs -understanding user needs, prioritizing features, measuring success, and iterating based on feedback. Experience building internal platforms or tools with strong adoption
  • Distributed Systems Expertise: 7+ years of experience designing and operating large-scale distributed systems with deep understanding of consistency, availability, scalability, and failure modes
  • Data Engineering Skills: Strong background in building data pipelines, working with time-series databases, columnar storage, stream processing (Kafka, Flink, etc.), and data modeling at scale
  • Observability Domain Knowledge: Hands-on experience with modern observability tools and practices including metrics, logging, tracing, and profiling. Familiarity with OpenTelemetry, Prometheus, Grafana, or similar technologies
  • Programming Proficiency: Expert-level coding skills in languages like Java, Python, Go, or Scala with ability to write production-quality code
  • Systems Thinking: Ability to see the big picture while managing complex technical details, balancing trade-offs between cost, performance, and reliability
  • Experience building observability platforms from the ground up or significantly scaling existing solutions
  • Familiarity with cloud-native architectures and technologies (Kubernetes, service mesh, etc.)
  • Track record of driving adoption of internal platforms through excellent documentation, UX, and developer advocacy
  • Experience with machine learning or anomaly detection applied to observability use cases
  • Strong communication skills with ability to influence stakeholders at all levels
  • Contributions to open-source observability projects, a plus


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.


#LI-REMOTE


#LI-JT1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$177,185—$364,795 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Lecturer Pool-Landscape Architecture and Environmental Planning
Salary not disclosed
Berkeley, CA 4 days ago
Position overview

Salary range:
The posted UC academic salary scales set the minimum pay at appointment. See the following table for the salary scale for this position: reasonable estimate for Lecturer positions is $68,247-$203,860 for full-time annual appointment.

Percent time:
A minimum appointment in this department is 11% for one semester.

Anticipated start:
Positions typically start at the beginning of the semester (August 1st for Fall Semester; January 1st for Spring Semester, May 16 for Summer Sessions), and appointments may be renewable based on the Program's need, funding, and on lecturer performance.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.

Application Window


Open date: March 25, 2025




Most recent review date: Monday, Sep 8, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Wednesday, Mar 25, 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.



Position description

The Department of Landscape Architecture & Environmental Planning (LAEP) at UC Berkeley invites applications for a pool of qualified lecturers to teach courses in the department's BA and Master of Landscape Architecture programs, should an opening arise. This includes the following areas such as (but not limited to): graduate and undergraduate design and planning studios, digital and analog landscape representation, applied environmental science, plant identification and use, landscape construction, landscape grading and drainage, history and theory of landscape architecture and environmental planning, and GIS. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring, and summer), depending upon the needs of the Department.



General Duties: In addition to teaching responsibilities, general duties include holding office hours, assigning grades, advising students, preparing course materials (e.g., syllabus), and using Cal's electronic resources for course management.



Qualifications

Basic qualifications (required at time of application)

Applicants must hold a Bachelor's degree at the time of application.



Additional qualifications (required at time of start)

Advanced degree or 3 years of relevant professional experience.



For those who are not US citizens or permanent residents, a legal permit that allows work in the United States (such as a US visa that allows employment) is required by the start date of the position. The department is unable to provide a visa/work permit.



Preferred qualifications

Advanced degree; Master's degree (or equivalent international degree) in Landscape Architecture or related field at time of application.



Application Requirements

Document requirements

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


  • Statement of Interest - Statement of interest.



    2-6 pages total. Discuss your prior teaching experience in landscape architecture and environmental planning, including your teaching approach and future teaching interests, and specific efforts and future plans to support the success of all students through curriculum, classroom environment, and pedagogy.


  • Portfolio (Max 50MB)


  • Teaching Evaluations - Any available college or university-level teaching evaluations including student comments.

    (Optional)




Reference requirements
  • 3-5 required (contact information only)


Apply link:
JPF04740

Help contact:



About UC Berkeley

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


Job location
Berkeley, CA
Not Specified
Scientist
Salary not disclosed
Worcester, MA 4 days ago
Job Title: Scientist

Location: Worcester, MA; 01604

Duration: 8+ months

Description:

Overview:

A scientist position is available within the Cell Culture Process Development group in PDS&T Biologics at Client's Bioresearch Center in Worcester, MA. The group is responsible for developing and supporting cell culture manufacturing processes for early and late phase clinical programs. We strive for speedy delivery of quality processes that are high yield, amenable to efficient manufacturing operations, robust and provide desirable product quality attributes. The group interacts closely with other development groups and along with Manufacturing and Discovery. We are seeking an enthusiastic, creative scientist that can work independently and as part of a dynamic team environment.

What are the top 3-5 skills, experience or education required for this position:


  • M.S. in biochemical/chemical engineering or life sciences related disciplines with 2+ years of industrial experience; or B.S. in biochemical/chemical engineering or life sciences related disciplines with 5+ years of industrial experience.
  • Excellent interpersonal and communication skills. Strong scientific curiosity with a passion for problem-solving and optimization. Self-motivated with excellent attention to detail and ability to multi-task. Strong organizational, planning and trouble-shooting skills.
  • Understanding of cell culture processes (e.g., cell culture process development, process scale up and scale down, recombinant protein production, protein characterization).
  • Proven experience working aseptically in cell culture processes at benchtop bioreactor scale.

    Key Responsibilities:

    * Execute scientific research and development to significantly improve platform processes and workflows, develop new methods, build technical expertise and intellectual property, and deepen scientific understanding.

    * Work collaboratively and cross-functionally with colleagues in other functional areas (Analytical Development, Cell Line Development, Discovery, Manufacturing and Quality).

    * Proactively seek out new information and opportunities to advance our technologies and pipeline. Critically evaluate relevant scientific, regulatory and business advances and integrate this knowledge.

    * Effectively communicate scientific data and concepts to internal and external audiences through reports, presentations and manuscripts. Author and review technical reports, protocols, and other key documents.

    * Understand and adhere to corporate standards regarding code of conduct, safety, documentation and GMP compliance.

    Qualifications:

    * M.S. in biochemical/chemical engineering or life sciences related disciplines with 2+ years of industrial experience; or B.S. in biochemical/chemical engineering or life sciences related disciplines with 5+ years of industrial experience.

    * Excellent interpersonal and communication skills. Strong scientific curiosity with a passion for problem-solving and optimization. Self-motivated with excellent attention to detail and ability to multi-task. Strong organizational, planning and trouble-shooting skills.

    * Understanding of cell culture processes (e.g., cell culture process development, process scale up and scale down, recombinant protein production, protein characterization).

    * Proven experience working aseptically in cell culture processes at benchtop bioreactor scale.


Not Specified
Industry Specialist - Risk, Risk
✦ New
🏢 Amazon
Salary not disclosed
Seattle, WA 1 day ago
The Special Projects & Investigations team is looking for an experienced, motivated industry specialist with background in risk, digital fraud, compliance who also have advanced data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical and high impact projects and scale their findings through technology and analytics to interpret risks across Amazon’s entire business segment or apply other industry experience to develop feasible, systematic solutions to endemic problems.
Selling Partner Trust and Store Integrity (TSI) creates a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors, and Amazon from fraud, counterfeit, and abuse. The Special Projects and Investigations (SPI) team within TSI protects Amazon customers and stores by applying systems thinking to understand how networks of users interact with multiple services. We target large-scale ecosystems that pose store-level risks and mitigate those ecosystems through internal and external means. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, demonstrate tenacity to get things done, thrive in ambiguity and change, and can break down and solve complex problems.

We catch bad actors and stop online fraud. It’s fun. It’s hard. It matters. We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. Amazon is one of the world’s most trusted companies. Help us keep it that way. To achieve this, the ideal candidate should be passionate about use of advanced data analytics and technology approaches to identify patterns and establish connections to uncover process and technology gaps and prevent fraud across Amazon stores worldwide. Your decisions are not only fundamental to helping protect customers and selling partners but will help maintain the health of Amazon’s catalog and product listings ecosystem.

Key job responsibilities
• Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
• Use high-level judgment to inform our most complex enforcement decisions
• Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
• Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors and sizing the issue
• Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions
• Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
• Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies
• Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders
• Own partnerships with stakeholder teams and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.
• Design and deploy agentic AI systems to automate complex workflows, scale pattern detection, and accelerate enforcement decisions across high-volume abuse scenarios

A day in the life
Your day might involve diving deep into data to uncover emerging fraud patterns, collaborating with teams across Amazon to implement protective solutions, or developing new detection methods. You'll balance independent analytical work with team collaboration, sharing insights and supporting colleagues in our shared mission.

About the team
Our team is comprised of practitioners of fraud and abuse, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results - we wear a lot of hats and take ownership of hard to solve problem areas whenever possible. We speak 12 languages, write code in 3 (mostly self-taught, on the job), and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.

Our work is to solve hard puzzles and identify what hasn’t already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.- Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline.
- 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, ecommerce, analytics, or security
- Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python
- Proven ability to deliver complex projects across multiple teams- • Experience working in e-commerce organizations • Experience working within fraud, compliance, law enforcement, or intelligence organizations • Experience with AWS services like Redshift, Neptune or Sagemaker • Masters degree in or practical experience with data science or machine learning • Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • High level of integrity and discretion to handle confidential information. • Exceptional ownership and bias for action: willing to move quickly and decisively • Proven ability to problem solve in large/complex/technical systems

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 102, ,400.00 USD annually
Not Specified
Director of Manufacturing
Salary not disclosed
Rio Rancho, NM 3 days ago

About Castelion


Castelion is bringing a new approach to defense development and production: one that focuses on short, iterative design cycles, rapid testing in development, and modern commercial manufacturing strategies for production at scale. We’re designing, building, and testing next generation long range strike weapons systems to give America and its Allies a definitive edge and deter future conflicts.


Director of Manufacturing


We’re seeking a Director of Manufacturing to lead our Rio Rancho based manufacturing operations — our modern “Arsenal of Democracy” — delivering hypersonic capability at scale to deter future conflicts. In this pivotal leadership role, you will build and lead a world‑class manufacturing operation, pushing for innovation and operational excellence that positions us as the nation’s premier hypersonic producer.


Responsibilities


  • Define and execute strategy to scale all Rio Rancho based production including solid rocket motor manufacturing, integration, and test and validation (HITL/VITL) from prototype to scaled production
  • Recruit, train/develop, and scale a diverse, high-performing 250+ employee manufacturing team (technicians, leaders, and manufacturing engineers)
  • Support the implementation and refinement of production software systems and tools (MES, ERP, PLM, etc)
  • Oversee day-to-day production and manufacturing operations — including production scheduling, capacity planning, resource allocation, inventory and supply-chain coordination, materials flow, and facility/equipment management
  • Forecast and manage operational and capital expenditures.
  • Develop, implement, and refine KPIs to measure performance.
  • Lead continuous process development and improvement efforts to optimize yield, throughput, manufacturing cost, and production reliability across all production lines
  • Establish and maintain a culture that prioritizes safety, quality, speed and continuous improvement.


Basic Qualifications


  • Bachelor’s degree in Engineering
  • 10+ years in production/manufacturing operations or manufacturing engineering
  • 5+ years in production/operations leadership
  • Demonstrated success in scaling a production operation from development/prototype to high volume production
  • Deep understanding of high-precision, complex aerospace hardware production — including metallic and composite fabrication, machining/welding/additive, tight-tolerance assembly, avionics, testing and acceptance, and NDE.
  • Skilled at interpreting raw data, identifying trends or anomalies, and translating findings into clear, data-informed strategies.
  • Demonstrated ability to lead, mentor, and develop a high-performing, cross-functional team — including production staff, manufacturing engineers, quality, supply-chain, and operations personnel — with emphasis on building culture, accountability, and continuous improvement
  • Excellent communication, interpersonal, and cross-functional collaboration skills to interface with engineering, quality, supply-chain, leadership, and possibly external partners or customers.
  • Demonstrated commitment to safety, quality, and compliance


Preferred Skills and Experience


  • Comfort operating in a fast-paced, high-stakes, high-reliability environment typical of aerospace/defense startups — able to make decisions under ambiguity, handle programmatic/contract demands, and adapt as priorities shift
  • Experience with manufacturing execution systems (MES/ERP/PLM), production data systems, material resource planning (MRP), and digital manufacturing workflows to manage operations, quality, change control, and configuration
  • Strong background in manufacturing engineering practices, operations excellence, and continuous improvement methodologies (e.g., Lean manufacturing, Six Sigma, process optimization, DFM/DFA, production flow and layout planning, tooling and automation)
  • Deep knowledge of aerospace manufacturing standards and regulatory frameworks (e.g., AS9100, NADCAP, applicable military/defense manufacturing standards), including quality management, audit readiness, compliance, and export-control/ITAR requirements
  • Extensive leadership experience (10–15+ years) in aerospace, defense, or high-complexity manufacturing, including several years at the sr. manager or director level leading cross-functional teams
  • Demonstrated experience with manufacturing or production of energetic materials or systems — including propellants, explosives, pyrotechnics, or related energetic payloads — with deep understanding of safety, process control, and qualification requirements


All employees are granted long-term stock incentives as part of their employment at Castelion. All employees receive access to comprehensive medical, vision, and dental insurance, and the company offers four weeks of paid time off per year.


Leadership Qualities


Bias to Action and Creative Problem Solving. Desire and experience questioning assumptions in ways that lead to break through ideas that are ultimately implemented. Successfully bring in applicable processes/concepts/materials from other industries to achieve efficiency gains. Ability to personally resolve minor issues in development without requiring significant support.

High Commitment, High Initiative. A successful candidate will have a genuine passion for Castelion’s mission and consistently look for ways to contribute to the company’s technical goals and prevent hardware blockers. Ability to work in a fast paced, autonomously driven, and demanding atmosphere. Strong sense of accountability and integrity.

Clear Communicator. Proactively communicates blockers. Trusted in previous roles to be voice of company with regulators, suppliers, gate keepers and customers. Capable of tactfully managing relationships with stakeholders to achieve company-desired outcomes without compromising relationships. Emails, IMs and verbal interactions are logical, drive clarity, and detailed enough to eliminate ambiguity.


ITAR Requirements:


  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.


Employment with Castelion is governed on the basis of competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Not Specified
Director of Manufacturing Operations
Salary not disclosed
Ridgefield, CT 2 days ago

LOCATION Ridgefield, CT


JOB TYPE Full-Time, On-Site


COMPANY DESCRIPTION

Vibrant Building Technologies is building the next generation of home health technology — hardware and software designed to actively manage the environment people live in.

Our first product is an intelligent HVAC platform. We are transitioning from product development into manufacturing and building the operational foundation to produce our systems at scale. Our commitment is to American manufacturing and uncompromising product quality.


ROLE DESCRIPTION

We are looking for a Head of Manufacturing & Test Operations to build Vibrant's manufacturing organization from the ground up. This role is full-time and on-site in Ridgefield, CT.

This is not a maintenance role inside an established factory. This is a 0 to 1 build.


You will design the production floor, implement manufacturing systems, develop testing infrastructure, and establish the quality processes that ensure every system leaving the facility performs reliably in the field. You will work directly with executive leadership to define how our products are built, tested, and delivered.


The right person is both strategic and hands-on — comfortable defining manufacturing architecture and stepping onto the floor to debug hardware and solve problems. Your work will directly determine Vibrant's ability to scale.


RESPONSIBILITIES


Manufacturing System Architecture

  • Design and build Vibrant's manufacturing operations from the ground up
  • Define production line architecture, workstation layouts, and assembly flow
  • Establish SOPs, assembly instructions, and process controls
  • Implement systems for inventory, traceability, and production tracking

Production Operations

  • Own throughput, yield, and reliability across all manufacturing lines
  • Launch and stabilize new production stations and assembly processes
  • Identify and eliminate bottlenecks affecting cycle time and output
  • Drive continuous improvement across efficiency and cost structure

Test Infrastructure & QA

  • Design and deploy production testing infrastructure for every manufactured unit
  • Develop automated and manual test procedures to validate system performance
  • Establish root cause analysis processes for production failures and field returns
  • Partner with engineering on validation testing and product verification

Supply Chain & Component Quality

  • Manage vendor performance and component quality with supply chain leadership
  • Establish incoming quality control processes for critical components
  • Maintain feedback loops between production, suppliers, and product development

Team Building & Leadership

  • Recruit, train, and develop Vibrant's early manufacturing team
  • Build a culture of ownership, accountability, and operational excellence
  • Serve as the escalation point for all manufacturing and quality issues

Cross-Functional Execution

  • Close feedback loops between design and production with hardware, firmware, and software teams
  • Support prototype builds, pilot runs, and engineering validation cycles
  • Partner with executive leadership on scaling strategy and facility expansion


WHAT SUCCESS LOOKS LIKE — FIRST 12 TO 18 MONTHS

  • A stable, repeatable manufacturing line running at consistent throughput
  • Production testing infrastructure validating every unit before shipment
  • QA processes that significantly reduce field failures and service escalations
  • Throughput increased without sacrificing quality
  • Operational foundation in place to scale production significantly
  • A high-ownership manufacturing team performing at a high level


YOU MIGHT BE A FIT IF

  • You enjoy building systems from scratch rather than maintaining existing ones
  • You have taken a hardware product from prototype into real production and understand what scaling physical products actually requires
  • You move comfortably between strategic planning and hands-on execution — process design, production debugging, test fixture improvement
  • You believe great manufacturing leaders belong on the production floor
  • You are motivated by ownership and want to directly shape how a company builds and delivers its products
  • You are energized by environments where the playbook is still being written
  • You take pride in eliminating operational chaos through durable systems, not constant firefighting


You will likely thrive here if you are the type of person who looks at an empty production floor and immediately starts thinking about the systems, processes, and team required to bring it to life.


QUALIFICATIONS


Required:

  • 5+ years in manufacturing, production engineering, or industrial engineering
  • Experience scaling hardware production in fast-moving environments
  • Strong technical understanding of electromechanical systems
  • Able to operate across strategy and execution — from system design to shop floor
  • Track record of building durable processes, not just solving immediate fires

Strongly Preferred:

  • Experience at an early-stage hardware company
  • Background designing production test systems for complex hardware
  • Familiarity with HVAC or similar electromechanical products
  • Experience with MES or manufacturing analytics systems


Not Specified
Operations and Systems Manager - Fabrication and Manufacturing
Salary not disclosed
Commerce, CA 2 days ago

*This role is currently based in Commerce, CA.


Cross Brothers Manufacturing


Company Overview


Cross Brothers Manufacturing is a rapidly growing fabrication and electrical infrastructure manufacturing company serving utilities, OEMs, and electrical contractors across the Western United States. The company is a portfolio investment of TBG Equity, a private investment firm focused on building and scaling industrial and infrastructure manufacturing businesses.

Our products support the expansion of the electrical grid and industrial infrastructure, including utility structures, enclosures, and custom fabricated components.

Demand for our products is increasing as electrification, AI infrastructure, and data center growth drive massive expansion of the electrical grid.


We encourage candidates who enjoy solving operational problems and building systems in fast-growing environments to apply.


Benefits & Perks

·      Fully paid medical benefits

·      401k matching

·      Generous Paid Time Off and Holidays


Compensation & Growth Path

·      Base salary expected to be in the range of $100,000 – $130,000, depending on experience.

·      This role is also eligible for performance bonuses tied to operational improvements and company growth.

·      Cross Brothers leadership participates in a shared bonus pool tied to company performance, which this role will have the opportunity to join as responsibilities expand.

·      As the company grows, this position is expected to evolve into Director of Operations, with responsibility for broader operational leadership.

·      Top performers may also have the opportunity to participate in long-term incentive programs, including potential equity participation, as the company scales.


About the Position – Operations & Systems Manager


Cross Brothers is entering a rapid growth phase as demand for electrical infrastructure equipment accelerates across the United States.


The company is currently expanding production capacity, launching a second shift, and preparing for a facility relocation to support continued growth.


This role offers a rare opportunity to help build the operational foundation of a growing manufacturing platform, working directly with leadership to improve manufacturing systems, implement new technology, and scale production capacity.


The successful candidate will play a key role in helping the company evolve from a traditional fabrication shop into a modern, data-driven manufacturing organization while working closely with leadership to shape how the business scales operationally.


Role Mission

The Operations & Systems Manager will help transform Cross Brothers from a traditional fabrication shop into a scalable, data-driven manufacturing platform.


This role will work directly with the CEO and leadership team to build operational systems, improve shop-floor processes, implement automation and AI tools, and support the company’s next phase of growth.


This is a hands-on role inside the factory environment, working closely with production, finance, engineering, and leadership to improve efficiency, throughput, and operational visibility.


Key Responsibilities


Operational Systems

  • Implement and refine work order tracking and production systems
  • Develop operational dashboards and KPIs
  • Track labor efficiency across cutting, bending, welding, and assembly
  • Identify production bottlenecks and process improvement opportunities

Manufacturing Process Improvement

  • Improve production scheduling and workflow coordination
  • Support second shift production ramp
  • Reduce rework, delays, and operational waste
  • Assist with facility layout and production flow improvements for our upcoming facility move

Technology & Automation

  • Evaluate and implement automation and AI tools for operations
  • Improve digital workflows across quoting, engineering, and production
  • Help modernize internal systems and reporting

Operational Execution

  • Support daily shop-floor operations
  • Coordinate between engineering, finance, production, and leadership
  • Assist leadership in scaling operational capacity as demand grows


Ideal Candidate


We are looking for a highly analytical, hands-on operator who enjoys solving complex operational problems.


Strong candidates may come from backgrounds such as:

·      Operations or manufacturing roles

·      Industrial engineering

·      Operations consulting

·      Supply chain optimization

·      MBA programs with operations focus


The ideal candidate will be:

·      Extremely analytical and systems-oriented

·      Comfortable working in a manufacturing environment

·      Comfortable working in both the office and on the shop floor

·      Curious about technology and AI tools

·      Proactive and solutions-driven

·      Eager to grow with a fast-scaling company


Location

This role is currently based at our manufacturing facility in Commerce, California.


As the company continues to grow, we expect to relocate to a larger facility within the next 9–12 months, likely in Orange County or the Inland Empire.


Work Schedule


This role works closely with production teams and requires an early start to support daily shop-floor operations.


Typical hours begin around 6:30–7:00 AM.

Not Specified
Plant General Manager
✦ New
Salary not disclosed
Denver, PA 1 day ago

 

Plant General Manager


Uhuru Design is a design-forward American contract furniture manufacturer delivering high-performance conference systems, private office programs, and large-scale workplace environments for institutional clients across North America.


Founded in 2004, Uhuru evolved from its design-led origins into a nationally recognized partner for complex B2B environments, serving financial institutions, technology firms, hospitality groups, and mission-driven organizations.


Uhuru operates our manufacturing facility in Denver, Pennsylvania, with a national rep network and growing institutional client base. We are entering our next chapter: scaling operations to support larger, faster, and more complex projects while maintaining the creative energy that defines our brand.


This is where design ambition meets operational excellence.



The Opportunity


We are seeking a Plant General Manager to lead Uhuru into our next chapter.


The Plant General Manager (GM) is the senior operational leader of Uhuru’s Denver, PA manufacturing facility and a core member of the executive leadership team.


This is a hands-on, on-site leadership role reporting directly to the Chief Executive Officer.

This is a build-and-scale mandate, not a maintenance role.


You will oversee manufacturing operations across wood, metal, finishing, logistics, and outsourced partnerships — while helping architect the systems, structure, and leadership culture required to compete at a national contract level



Core Responsibilities


Operational Leadership
  • Lead all day-to-day plant operations across production, scheduling, and fulfillment
  • Build scalable systems for production planning, capacity forecasting, and cost control
  • Improve throughput, margin performance, and on-time delivery metrics
  • Establish KPIs and reporting structures aligned with executive goals


Quality & Execution
  • Elevate quality control processes across wood, metal, finish, and outsourced components
  • Implement process documentation and repeatability across product lines
  • Reduce rework, warranty exposure, and inefficiencies


Team & Culture
  • Lead, mentor, and develop plant leadership and production teams
  • Create a culture of accountability, pride, and performance
  • Build succession planning and organizational depth
  • Recruit strategically as we scale


Cross-Functional Leadership
  • Partner closely with design, engineering, and product teams to ensure manufacturability
  • Collaborate with sales to improve quoting turnaround and feasibility evaluation
  • Strengthen supplier and outsourced manufacturing relationships


Strategic Build-Out
  • Evaluate layout, equipment, and workflow improvements
  • Assess future capacity needs and expansion scenarios
  • Support long-term scaling plans (including potential footprint expansion




What We’re Looking For


  • 15+ years in furniture or adjacent contract manufacturing
  • 5+ years in senior operations or plant leadership
  • Demonstrated experience scaling production for complex B2B projects
  • Deep understanding of woodworking, metal fabrication, and finishing environments
  • Strong financial and operational acumen (COGS, margins, capacity modeling)
  • Experience implementing systems (ERP/MRP, lean manufacturing, SOP development)
  • Executive-level communication and presence
  • Entrepreneurial mindset and comfortable building structure in a growing company
  • BA/BS in supply chain, engineering, or management preferred


Work Environment

This is a hands-on leadership role split between the factory floor and executive planning.

We expect operational intensity during peak project periods and are building systems that reduce reactive firefighting over time.


Why Uhuru


This is an opportunity to:

  • Shape the future of an independent American design brand
  • Build operational systems without corporate bureaucracy
  • Compete head-to-head with legacy contract manufacturers
  • Create a factory culture that balances craft, precision, and performance
  • Leave a visible mark on the next phase of the business


We are building the next generation of American contract furniture.


UHURU is an Equal Opportunity Employer

Not Specified
Senior Applied AI Scientist
🏢 Harnham
Salary not disclosed
New York, NY 3 days ago

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

  • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
  • You will report directly to senior leadership and work closely on technical direction
  • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
  • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

  • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
  • Experience working in a scaling startup is preferred
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Cloud experience in AWS, Azure or GCP
  • DevOps exposure with CI/CD pipelines preferred
  • History of working on models from concept to production / end-to-end / 0-1
  • Applied research background in a commercial setting required
  • Publication and/or patent history highly preferred
  • Experience in settings wearing multiple hats
  • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
  • History of partnering with non-technical stakeholders required
  • Experience owning projects
  • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Not Specified
Senior Computer Vision Scientist
🏢 Harnham
Salary not disclosed
New York, NY 2 days ago

Senior Computer Vision Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

  • You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
  • You will report directly to senior leadership and work closely on technical direction
  • Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
  • You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
  • You will play an integral role of building out the AI team and scaling out its product
  • Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Computer Vision Scientist will likely have the following skills and experience:

  • 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
  • Experience working in a scaling startup is preferred
  • Expertise in Python (TensorFlow, PyTorch) for production-grade work
  • Commercial experience building novel AI platforms with large datasets
  • History of working with and managing real-time AI applications in production settings
  • Cloud experience in AWS, Azure or GCP
  • DevOps exposure with CI/CD pipelines preferred
  • History of working on models from concept to production / end-to-end / 0-1
  • Applied research background in a commercial setting required
  • Publication and/or patent history highly preferred
  • Experience in settings wearing multiple hats
  • Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
  • History of partnering with non-technical stakeholders required
  • Experience owning projects
  • PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Not Specified
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