Engineering Jobs in Waban Middlesex County Ma

Product Manager

✦ New

Salary not disclosed

Boston, MA 7 hours ago

Product Manager – Financial Services / Private Markets

About the Role

We are seeking an experienced Product Manager with deep Financial Services expertise to lead the development and evolution of products supporting Investment Management and Private Markets. This role combines strong domain knowledge across Private Equity, Private Credit, Investment Operations, and Fund Accounting with hands-on experience in data management, reference data, and system integrations.

You will partner closely with business stakeholders, technology teams, and data teams to define product strategy, translate complex financial workflows into clear requirements, and deliver scalable, high-quality solutions.

What You’ll Do

Own and drive the product roadmap for platforms supporting Investment Management and Private Markets (Private Equity & Private Credit)
Partner with Investment, Operations, Fund Accounting, and Technology teams to gather requirements and translate business needs into product features
Lead product discovery and definition across:
Investment Operations workflows
Fund accounting and transaction lifecycles
Market and Security Reference Data
Data ingestion, enrichment, and distribution
Define and manage product requirements, user stories, and acceptance criteria for agile delivery teams
Ensure accurate data management and mapping across multiple upstream and downstream systems
Collaborate with engineering and data teams on SQL-based analysis, data validation, reconciliation, and issue resolution
Oversee integration of reference data (market, security, pricing, counterparty) into core investment and accounting platforms
Act as a subject matter expert on private market transactions (capital calls, distributions, valuations, settlements)
Support regulatory, audit, and reporting requirements through strong data governance and controls
Measure product success through KPIs, user feedback, and operational efficiency improvements

What You Bring

7+ years of experience as a Product Manager, Product Owner, or Business/Product Analyst within Financial Services
Strong hands-on experience in Investment Management and Investment Operations
Deep knowledge of Private Markets, including Private Equity and Private Credit
Solid understanding of Fund Accounting, transaction processing, and lifecycle events
Experience working with Market and Security Reference Data
Proven background in data management, including mapping across multiple systems
Strong SQL skills for data analysis, validation, and troubleshooting
Experience working in agile environments with engineering and data teams
Excellent communication skills, with the ability to translate complex financial concepts to both technical and non-technical audiences

Preferred Qualifications

Experience with private market or investment platforms (accounting, portfolio management, or data platforms)
Familiarity with data governance, data quality frameworks, and control processes
Experience supporting large-scale system integrations or platform modernization initiatives
Background in asset management firms, asset servicers, or fintech organizations

Not Specified

A

AI Ethics Specialist, Standards, Measurement & Governance

✦ New

Salary not disclosed

Boston, MA 7 hours ago

AI Ethics Specialist, Standards, Measurement & Governance | Just Horizons Alliance

Join us to define the standards that hold AI systems accountable.

The situation

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We currently have a first version of the framework that is validated and in use. Now we're investing in the next phase: sharper indicator definitions, stronger construct validity, governance processes that hold up to external scrutiny, and measurements that work across domains from education to healthcare to finance.

This is the first dedicated hire to drive the standards and governance layer end-to-end.

What you'll actually do

Months 1–3: Learn the system

Work through the existing L4 indicator library with Sophia. Understand where definitions need tightening, which constructs require the most interpretation, and how the evaluation engine turns indicators into measurements. Start giving developers working definitions they can implement.

Months 4–6: Build the governance infrastructure

Lead the development of a versioning and change control process for the Index. Define disclosure policies. Formalize internal ethical oversight processes. Collaborate with domain experts in education, healthcare, and finance to validate indicators across contexts.

Months 7–12: Drive the standard

Be the person who gives definitive answers on construct interpretation. Manage the L4 indicator framework as a living, governed document. Represent the methodological rigor of the Index in external conversations with regulators, academics, and the organizations being evaluated.

Why this role is hard

You're working at the frontier of a field that does not have settled answers. There is no ISO standard for AI ethics measurement. The frameworks you're building will be contested by academics, challenged by the AI companies being evaluated, and scrutinized by regulators. You need to make defensible decisions under genuine uncertainty, document your reasoning clearly, and communicate it to people who will disagree.

The daily work involves uncomfortable specifics. What does "sexually explicit content" mean when an LLM is used in a youth education context—a tutoring app, a storytelling tool, an educational assistant? Where exactly is the boundary? You have to define it in terms a developer can implement and an auditor can verify.

The pace is weeks, not semesters.

You're probably the right person if

You've taken an abstract ethical principle and turned it into something a developer could build or a compliance team could audit

You understand NIST AI RMF or the EU AI Act at a working level — not awareness, but enough to argue about the details

You have external credibility in the field: publications, recognised work, advisory roles, or a title that carries weight

KYC, compliance, or governance experience is part of your background alongside ethics expertise

You work at the pace of decisions, not the pace of studies

You can hold a substantive conversation with a software developer about API behaviour and with a philosopher about construct validity — on the same day

You can read an inter-rater reliability methodology and understand what it means for your indicator definitions

You're probably not the right fit if

Your background is purely academic ethics — you've written and published but never operationalized anything

You need months of research before committing to a position on a specific indicator definition

You're primarily a communicator or writer about AI ethics rather than a practitioner of governance

You're based on the West Coast US or don't work in East Coast US or Western Europe time zones

You see "working with developers" as someone else's job

Hard Skills

These are the domain and technical capabilities you need going in — or need to be able to build up fast. You don't need to be an engineer. But you do need to learn quickly, including using AI tools to close knowledge gaps on the fly.

NIST AI RMF and EU AI Act — working-level knowledge, not awareness. Enough to argue about the details and identify where a specific AI system fails to comply
Construct operationalization — demonstrated experience translating an abstract ethical principle into a bounded, testable indicator that someone else can use
Governance documentation — writing versioning policies, change control frameworks, and disclosure protocols that other people actually use day to day
AI evaluation methodology — familiarity with how AI systems are benchmarked, where measurement goes wrong, and what validity means in a scientific context
Basic technical literacy — able to read API documentation, understand what a model endpoint does.
Statistical reliability concepts — inter-rater reliability, aggregation methods, and what it means for a measurement to be valid versus merely reliable
KYC or compliance frameworks — experience building governance processes that have real enforcement teeth, not just principles documents that no one is held to

What you get

The role: Work directly with Sophia Zitman (AIEI Team Lead) as the person who owns the methodological integrity of the AI Ethics Index. Direct daily collaboration with the development team.

The comp: $110,000

The team: Small, split between ethicists and engineers. Interview panel: Janet Kang and Sophia Zitman.

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones strongly preferred. Deliberate, rigorous culture.

The upside: You'll have built the governance foundation of what may become the globally referenced standard for AI ethics measurement. That is a genuinely consequential body of work.

Not Specified

C

Senior Project Manager, R&D

✦ New

🏢 CONFLUX SYSTEMS

Salary not disclosed

Newton, MA 7 hours ago

Job Title: Senior Project Manager, R&D

Location: Newton, MA (Hybrid - Onsite 3 days per week (Monday, Tuesday and Thursday)

Pay rate: $75/hr.W2

Duration: 12 Months

Shift timings: 8:00–5:00 or 9:00–6:00

Experience Requirements

4–8 years of relevant experience
Should come from a regulated industry
Preference for medical device
Role is not a software development PM; more aligned with systems/testing.

Required & Preferred Technical Skills

Required

Microsoft Excel
Microsoft Project
Microsoft Office Suite (Outlook, Word)

Preferred

Azure DevOps
SAP (helpful but not required for this specific role)

Soft Skills & Leadership Attributes

Strong leadership abilities in complex technical environments
Ability to turn ambiguous information into actionable tasks
Strong judgment and decision making
Skilled in facilitation and mediation
Able to guide a team toward decisions without dominating discussion
Clear communication skills
Ability to lead cross functional teams

Education Requirements

Bachelor’s degree required (Engineering, Technical discipline, or related Science)
Master’s degree acceptable; not considered overqualified
Experience expectations may vary depending on degree level. For example, a bachelor's degree candidate will need more experience (closer to 8 years) than a master’s degree candidate (closer to 4 years)

Position Description:

Consults with customers on technical solutions, together with Sales Manager or Key Account Manager.
Clarifies customers´ targets and requirements, and/or specification in request for proposal (RFP).
Prepares participation in tender and leads negotiation with customers. Coordinates overall planning of the project and decides on allocation of resources.
Clarifies specification and continuously liaise with accountable Project Manager Internal.
Monitors milestone and adherence to budgets, and initiates actions to minimize non-conformance cost.
May coordinate agreed commissioning measures onsite, together with Site Engineering Management.
Adheres to PM standards and Business Conduct Guidelines (e.g., Tax regulations, Export Control, EHS).

Key Responsibilities:

"Project Manager" Local / Regional Business Projects (small):Facilitates the execution of project/program solution plan for complex projects or programs.
Responsible for delivery of complex project/program plans.
Supports the project/program management role (definition of schedule, budget, risk, change, opportunity and resource allocation management) for complex projects or programs.
Acts as a functional or business process resource on projects or programs. Facilitates execution of continuous improvement plan.
May perform active role in maintaining client relationships and sales opportunities.
Experience: 4-8 years. Knowledge: Certified as Project Manager, Manages (at least) medium projects and is expected to further run plans of same/higher complexity (or equal knowledge).

Not Specified

X

Cloud Information Systems Security Engineer 2

✦ New

🏢 Xcelligen Inc.

Salary not disclosed

Boston, MA 7 hours ago

We are seeking an experienced Cloud Information Systems Security Engineer to design, implement, and manage security solutions for cloud environments. The selected candidate will lead security engineering efforts, identify risks, and develop mitigation plans to ensure compliance with DoD and federal cybersecurity standards. This role will primarily support CLIN 5 and is ideal for professionals with hands-on experience in cloud security, InfoSec engineering, and risk management within federal programs.

Security Clearance: Secret Clearance Required

Work Authorization: U.S. Citizens ONLY due to legal or government contract requirements

Key Responsibilities:

Develop, implement, and manage information security engineering designs and solutions for cloud environments.
Identify system security threats, vulnerabilities, and risks; develop and implement mitigation plans.
Architect, design, and evaluate security-focused tools, services, and processes.
Oversee assessment and mitigation of system security risks throughout the program life cycle.
Validate system security requirements and perform security analyses to ensure compliance.
Implement security designs across hardware, software, data, and operational procedures.
Support continuous monitoring and improvement of cloud security posture.
Collaborate with engineering, DevOps, and operations teams to enhance security automation and resilience.
Maintain technical documentation, runbooks, and compliance records for audit and review purposes.
Stay current on emerging threats, cybersecurity standards, and federal security mandates.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field.
Minimum of 4 years of experience in information security engineering or cloud security roles.
Strong knowledge of cloud platforms (AWS, Azure, or Google Cloud) and security best practices.
Experience with system security designs, threat modeling, risk assessment, and mitigation strategies.
Understanding of hardware, software, and network security principles in cloud environments.
Experience working in federal or DoD programs is preferred.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a team-oriented, security-focused environment.

Preferred Qualifications:

Hands-on experience with DevSecOps practices and security automation.
Familiarity with Infrastructure-as-Code security controls and compliance tools.
Knowledge of virtualization platforms (VMware, Hyper-V) and secure cloud configurations.

Certifications:

IAT Level II certification required.
Must obtain one or more Cloud Certifications within 6 months of hire (AWS, Azure, or Google Cloud preferred).

Not Specified

T

Mobile Application Developer

✦ New

🏢 Tech Consulting

Salary not disclosed

Boston, MA 7 hours ago

Hello,

I hope you are dong well, Tech-Consulting is looking for Dynamic Entry Level Mobile Developer in Atlanta, GA. We are scouting talent in though US. Gel Along!

Job Title: Junior Mobile Developer

Experience: 0–2 years

Location: Atlanta, GA

Employment Type: Full-time

Job Overview

We are looking for a motivated Junior Mobile Developer to join our development team. You will assist in building, testing, and maintaining mobile applications for Android and/or iOS platforms. This role is ideal for someone who is passionate about mobile technologies and eager to learn from experienced developers.

Key Responsibilities

Assist in developing and maintaining mobile applications.

Write clean, efficient, and maintainable code.

Collaborate with UI/UX designers, backend developers, and product teams.

Debug and fix issues in existing applications.

Participate in code reviews and team meetings.

Test applications to ensure performance, quality, and responsiveness.

Stay updated with the latest mobile development trends and tools.

Required Skills

Basic knowledge of mobile development frameworks such as:

Flutter

React Native

Android Studio

Xcode

Programming knowledge in:

Dart

Java

Kotlin

Swift

JavaScript

Understanding of REST APIs and JSON.

Basic knowledge of Git version control (e.g., GitHub).

Familiarity with mobile UI/UX principles.

Good problem-solving and communication skills.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).

Internship or project experience in mobile app development is a plus.

Seniority Level
Entry level
Industry
IT Services and IT Consulting
Employment Type
Full-time
Job Functions
Consulting
Skills
Mobile Technology
Computer Science
iOS
Android Development
Programming
Java
Mobile Applications
JavaScript
React Native
Mobile Application Development
Android
Problem Solving

Not Specified

AI Experimentation Strategy Director (Remote)

✦ New

🏢 GoDaddy

Salary not disclosed

Remote, Oregon 7 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 7 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