Engineering Jobs in Middletown Middlesex

Job DVP, Business Unit Manager

✦ New

Salary not disclosed

Middlefield, CT 6 hours ago

DVP, Business Unit Manager

Location: Middlefield, CT, US, 06455

The Division Vice President, Business Unit Manager (DVP, BU Manager) will be responsible for overall profit and loss performance and leading and driving growth of the Zygo business unit. They will work to thoroughly understand the business, take a hands-on approach, lead the business unit teams across multiple geographies, and be responsible for developing and implementing the Business Unit's Strategic Plan with an emphasis on AMETEK's culture and four-pronged growth strategy promoting continuous improvement, new product development, global and market expansion, and mergers & acquisitions.

Responsibilities:

Develop the annual operating plan and meet financial commitments, including meeting or exceeding revenue, profitability and return-on-asset targets.
Drive annual revenue growth organically while achieving growth through M&A activity.
Develop and execute a strong growth strategy including market expansion, new product development/launch and acquisitions.
Develop and lead a world-class operating culture and have a measurable impact on the success and growth of the overall organization. Provide strong process-driven leadership.
Develop and articulate the annual strategic plan along with the action plans that support the execution of this strategy.
Responsible for operating performance, e.g. sales, profit, working capital, on-time delivery, planning, scheduling, materials management, etc. Provide direct management to site and functional leaders.
Improve the product development and launch process by developing strong product maps, shortening the current development cycle, and emphasizing NPD as a percentage of sales.
Ensure effective product management to assist in driving market expansion.
Utilize the current product portfolio as well as R&D plans to help drive growth.
Develop strong product roadmaps, proactively tracing the paths of development for new applications and existing product movements in the marketplace.
Practice strategic product management, planning the development and life cycles of all products through production.
Develop an acquisition strategy including studying and building business cases for new investment opportunities that will create competitive advantages.
Analyze market positioning of the various players operating in the sector for the purpose of benchmarking and identifying future business opportunities.
Develop talent and maximize human capital including assessing the current team, identifying those with potential, providing opportunities to grow professionally, and building a succession plan for the business.

Requirements:

15+ years of progressive management experience and 5+ years in a senior leadership role with full P&L responsibility and full cross-functional responsibility including finance, engineering, quality, manufacturing operations, marketing/sales and human resources.
Bachelor's degree required, a BSEE or BSME preferred. An MBA is strongly preferred.
The ideal candidate will have managed a business with revenues of at least $100M with global experience highly preferred.
A proven track record serving in multiple functional roles which could include engineering, operations, sales and/or marketing.
Familiarity with the manufacturing of engineered products required.
Candidates must have proven strategic planning skills, conducted competitive analysis, developed marketing plans, pricing strategies, etc. Experience evaluating and making acquisitions is strongly preferred.
Proven track record of improving operational excellence (Lean, Six Sigma, Kaizen, CI and JIT), and operating metrics (OTD, operating profit margin, reducing working capital. etc.).
Hands-on involvement in customer relationships in applicable markets; the knowledge and confidence to interact with customers and speak articulately about the products.
Strong financial acumen and experience working for a publicly traded or Private Equity owned company continuously driven to lower costs while improving performance.
Effective strategic leadership skills and executive attributes; the ability to foster, formulate and execute business strategies that deliver profitable growth.
Strong analytical thinking, problem solving, and communications skills (both written and oral) with attention to detail.
Ability to effectively communicate ideas and establish credibility to people at all levels of the organization.
Must be self-directed and able to work well under pressure, multi-task, and meet deadlines.
Must be a team player with excellent interpersonal skills and a commitment to relationship-building, both internally and externally; isn't afraid to roll up their sleeves.

Compensation: Salaried. Salary Minimum: $200,000+. Salary Maximum: $200,000+. Incentive: Yes.

AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.

AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers' most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1 (866) 263-8359.

Nearest Major Market: Hartford

Not Specified

P

Production Machinist/Processor C 2nd Shift (Onsite

✦ New

🏢 Pratt & Whitney

Salary not disclosed

Middletown, CT 1 day ago

Date Posted:

2026-03-16

Country:

United States of America

Location:

US-CT-MIDDLETOWN-220A ~ Aircraft Rd ~ BLDG 220A

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious.

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

We have an immediate need for a Production Machinist/Processor C 2nd shift (Onsite)

What You Will Do:

Job Description

Setup and operate one machine tool or process equipment type and operate more than one unrelated machine tool or process equipment types within an assigned area to produce precision turbine engine parts.
Perform work where methods, procedures and processes are well developed and the required tooling, gaging and fixturing are provided.
Under the direction of leader/supervisor, work from verbal and written instructions, operation sheets, drawings and other pertinent information. Following established methods and procedures, use manual or numerically controlled machine tools such as milling, boring, grinding, turning, broaching and shaping machines to achieve the required dimensional specifications.
Recognize indications of dull or damaged cutting tools and replace them as needed.
Perform bench, assembly and surface finishing operations such as deburring, blending, trimming and fitting, using a variety of hand and power tools.
Follow prescribed methods and procedures to perform drilling, riveting and bonding operations to assemble various details in producing a finished part. Operate part-marking equipment.
Use a variety of media, dry or liquid, to perform cleaning or part preparation and finishing operations. Operate tumbling, grit blast, shot peen, buffing and polishing equipment, wash machines and dip tanks for part surface conditioning.
Apply masking as required. Perform applications of anti-gall and polymite coatings utilizing dry bake ovens to cure.
Utilize a variety of fixed or variable measuring instruments to check dimensions and part features. Operate OpCert and other computer–based systems to retrieve and store information and records.

Refer difficulties to leader or supervisor.

Perform routine servicing throughout assigned area following specified procedures and written instructions, such as operators’

checklist, for upkeep and to assure equipment operates properly.

May be assigned to carry out tasks, not specifically listed, within the scope and skill level of this job description in support of department objectives and to develop individuals' skills.

Qualifications You Must Have:

High School Diploma or GED.

Qualifications we prefer:

1-3 years of machining experience.
In compliance with the collective bargaining agreement, priority consideration is given to candidates who are INTERNAL (and recall) to the Pratt & Whitney IAM Bargaining Unit members of District Lodge 26 and Affiliated Locals 700 and 1746 (Connecticut Operations).

Learn More & Apply Now!

Must be a U.S. Citizen. This position may require access to systems/tools that are restricted to individuals who possess US citizenship.

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

EV5 Job code: PWH77771 (Production Machinist/Proc C)

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

permanent

CNC Machinist - Lathe Operator - Level II - 1st or 2nd Shift

✦ New

🏢 HORST ENGINEERING & MANUFACTURING CO

Salary not disclosed

Cromwell, CT 1 day ago

Sets-up and operates CNC Turning, Multi-Axis lathes, and other Turning equipment to produce highly precision component parts that meet all quality standards.

This role is for 1st or 2nd shift. 1st shift is 7am-3:30. 2nd shift is 3:00 - 11:30pmThis role is 100% in office at our plant in East Hartford, CT.

At HORST we offer a variety of benefits including but not limited to:

Competitive PTO PackagePaid Company Holidays401K Match ProgramMedical, Dental, Vision BenefitsTuition Reimbursement/Assistance Program

Major Areas of Responsibility:

Set-up and operate CNC Lathes (2-axis and multi-axis) (e.g. Eurotech, Hardinge, etc.)Will work with blueprints, operation sheets, and other work instructions.Working from blueprints, operation sheets, travelers or other specifications, set-ups and completes the machining operations to produce a quality part.Checks to make sure that the material to be used meets all specifications. Obtains bar stock or material from staging area.Performs complex set-ups of own work or for others.Makes all required adjustments to the machinery. Obtains tooling, gages, inserts and all other equipment needed to complete the set-up and brings up the program. Edits the program as necessary.Assists other Operators or Set-up/Operators with set-up or production problems and helps to train other set-up/operators.Ensures that all manufactured parts are in full compliance to quality standards. Performs visual inspections (part relationship to operation sheet/blueprint configuration) on all parts produced and performs actual dimensional verification using measuring instruments as per the guidelines established by the department or the Quality Assurance Department. Replaces all worn or damaged tooling as necessary.Verifies and records actual part count, both prior to and upon completion of all workPerforms all routine maintenance on the equipment and maintains all fluid levels. Keeps the equipment and work area clean and organized. Returns excess bar stock or material to the staging area.Moves the finished work to an assigned area. Enters all work performed into the database and documents all scrap. Notifies leadperson or supervisor of any parts shortages or machining problems/difficulties.Packs and washes/preserves parts as needed.Performs other machining and assembly operations as needed. Performs other related duties as required.Interacts with associates from all departments.

Requirements:

High School diploma or equivalent. Technical school training a plus.
3 years of set-up experience minimum required
Experience with aerospace products and/or other close tolerance parts is a plus.
Must be familiar with Fanuc and/or Okuma Controls
Must be able to set and change tools.
Must be able to use standard gauges and inspection techniques.
Experience with SPC, inspection documentation, and problem solving is a plus.
Strong interpersonal and analytical skills.
Must be able to read and write comments, understand operation sheets/blueprints, specifications, and all applicable company/customer paperwork.
Must be able to read CNC programs.
Five plus years of increasingly diverse experience in a machine shop or CNC machining environment

Physical Requirements:

Ability to push/pull/carry up to 50 lbs.
Able to stand for up to 8+ hours.

PI629cfb2ee342-26289-39815000

Not Specified

CNC Machinist - Lathe Operator - Level III - 1st or 2nd Shift

✦ New

🏢 HORST ENGINEERING & MANUFACTURING CO

Salary not disclosed

East berlin, CT 1 day ago

Sets-up and operates CNC Turning, Multi-Axis lathes, and other Turning equipment to produce highly precision component parts that meet all quality standards. Ability and willingness to train others. Can work independently and lead a project.

This role is for 1st or 2nd shift. 1st shift is 7am-3:30. 2nd shift is 3:00 - 11:30pm

This role is 100% in office at our plant in East Hartford, CT.

At HORST we offer a variety of benefits including but not limited to:

Competitive PTO PackagePaid Company Holidays401K Match ProgramMedical, Dental, Vision BenefitsTuition Reimbursement/Assistance Program

Major Areas of Responsibility:

Set-up and operate CNC Lathes (2-axis and multi-axis) (e.g. Eurotech, Hardinge, etc.)Will work with blueprints, operation sheets, and other work instructions.Working from blueprints, operation sheets, travelers or other specifications, set-ups and completes the machining operations to produce a quality part.Checks to make sure that the material to be used meets all specifications. Obtains bar stock or material from staging area.Performs complex set-ups of own work or for others.Makes all required adjustments to the machinery. Obtains tooling, gages, inserts and all other equipment needed to complete the set-up and brings up the program. Edits the program as necessary.Assists other Operators or Set-up/Operators with set-up or production problems and helps to train other set-up/operators.Ensures that all manufactured parts are in full compliance to quality standards. Performs visual inspections (part relationship to operation sheet/blueprint configuration) on all parts produced and performs actual dimensional verification using measuring instruments as per the guidelines established by the department or the Quality Assurance Department. Replaces all worn or damaged tooling as necessary.Verifies and records actual part count, both prior to and upon completion of all workPerforms all routine maintenance on the equipment and maintains all fluid levels. Keeps the equipment and work area clean and organized. Returns excess bar stock or material to the staging area.Moves the finished work to an assigned area. Enters all work performed into the database and documents all scrap. Notifies leadperson or supervisor of any parts shortages or machining problems/difficulties.Packs and washes/preserves parts as needed.Performs other machining and assembly operations as needed. Performs other related duties as required.Interacts with associates from all departments.

Requirements:

High School diploma or equivalent. Technical school training a plus.
3 years of set-up experience minimum required
Experience with aerospace products and/or other close tolerance parts is a plus.
Must be familiar with Fanuc and/or Okuma Controls
Must be able to set and change tools.
Must be able to use standard gauges and inspection techniques.
Experience with SPC, inspection documentation, and problem solving is a plus.
Strong interpersonal and analytical skills.
Must be able to read and write comments, understand operation sheets/blueprints, specifications, and all applicable company/customer paperwork.
Must be able to read CNC programs.
Five plus years of increasingly diverse experience in a machine shop or CNC machining environment

Physical Requirements:

Ability to push/pull/carry up to 50 lbs.
Able to stand for up to 8+ hours.

PIb02da9b9a9e7-26289-39676932

Not Specified

A

Manufacturing Engineer

✦ New

🏢 AVNA

Salary not disclosed

Berlin, CT 1 day ago

The Manufacturing Engineer is responsible for optimizing the process capability of the assigned product group by developing and verifying processes, analyzing process flows, implementing performance improvements, and conducting long-term process monitoring. This role ensures that production operations meet safety, quality, cost, and delivery objectives through process improvements, technical support, and continuous improvement initiatives. The engineer acts as the technical liaison between design, production, quality, and maintenance teams to sustain and enhance product line performance.

Key Responsibilities:

Safety & Compliance:

Ensure compliance with safety, environmental, and regulatory standards in all process designs and implementations.

Quality:

Collaborate with Quality Assurance and implement best practices for process control.

Daily Operations:

Ensure stable and efficient production processes to support execution of production plan.
Train operators and supervisors on new processes, equipment, and quality standards.
Provide technical guidance during equipment installation, qualification, and maintenance troubleshooting.

Process Standards:

Update and maintain production standards in ERP (Standard Rates/Crewfactor)
Develop, document, and maintain manufacturing process instructions, standard work, and operating procedures.

Process Improvement:

Collaborate with Quality and Production teams to reduce setup times, improve cycle times and reduce scrap.
Analyze production data to identify trends, inefficiencies, and opportunities for cost reduction and process improvement.
Design and validate tooling, fixtures, and process layouts to ensure ergonomic and efficient operations.
Monitor and improve key performance indicators (KPIs) such as throughput, downtime, and quality metrics.
Participate in cross-functional continuous improvement activities, including Lean, 5S, and Six Sigma initiatives.

Problem Solving:

Actively participate in root cause analysis and corrective and preventive actions (CAPA) for process-related issues, internal rejections, and customer complaints.

Communication:

Foster open, cross-functional communication across all levels and departments to address opportunities and challenges within the product line.
Support new product introductions (NPI) and engineering change implementations within the product line.

Key Metrics: (Product Line Performance Card)

Safety and Compliance

Recordable Incident Rate: OSHA-reportable safety incidents per period.
Near Miss Reporting: Frequency of safety risks reported before they become incidents.

Quality

Customer complaints and/or returns: Frequency and type of product issues reported post-shipment.
Scrap Rate: Pieces Scrapped / Pieces Produced
Internal Rejections/Defect Rate: Issues found during process control checks.

Production Performance

On-Time Delivery (OTD)
Production Efficiency: Actual output vs. planned output.
GMP (Good Manufacturing Practices)

Cost Control

Product Line GPM Targets (Gross Profit Margin)
Material Usage Variance: Difference between actual and expected material usage.

Continuous Improvement

Kaizen Participation: Employee involvement in improvement activities.
Downtime Analysis: Root cause tracking and reduction of unscheduled downtime.
5S or Visual Management Audits: Scores from housekeeping and organization assessments.
Willingness to stay current with emerging technologies is Vital.

Qualifications:

Education: Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, or a related field.
Experience: 3–7 years of experience in a manufacturing environment; experience supporting a dedicated product line is preferred.
Capable of meeting and exceeding timelines.
Strong knowledge of manufacturing processes, equipment, and production systems.
Experience with Lean manufacturing, Six Sigma, and root cause analysis tools (e.g., 5 Whys, Fishbone Diagram, FMEA).
Proficiency with CAD software (SolidWorks, AutoCAD) ERP systems.
Understanding of GD&T, process capability (Cp, Cpk), and statistical process Control (SPC).
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to manage multiple projects and priorities in a fast-paced environment.
Capable of working with minimal or no supervision.
A can-do attitude.

Not Specified

AI Experimentation Strategy Director (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 6 hours ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Remote working/work at home options are available for this role.

Not Specified

Lead Experimentation Scientist in AI (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 6 hours ago

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development
2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

Master's in computer science or equivalent quantitative fields