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Algorithmic Jobs in Boston, MA (NOW HIRING)

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Algorithmic information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do algorithmic jobs pay per year?

As of Jul 21, 2026, the average yearly pay for algorithmic in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientist, software engineer, machine learning engineer, and quantitative analyst, where designing, implementing, and optimizing algorithms is essential. These positions often require programming skills in languages like Python or C++ and knowledge of data structures and mathematical concepts. They are common in technology, finance, healthcare, and research environments.

How to get into algotrading?

To get into algorithmic trading, develop strong programming skills in languages like Python or C++, learn quantitative finance and trading strategies, and gain experience with trading platforms and data analysis tools. A background in mathematics, statistics, or computer science is often essential, and internships or entry-level roles can provide practical experience in the field.

What are algorithmic jobs?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What is the most in demand programming job?

Algorithmic roles, such as algorithm engineers and data scientists, are highly in demand due to their importance in fields like finance, tech, and AI. These jobs typically require strong programming skills in languages like Python, C++, or Java, and expertise in data structures, algorithms, and machine learning tools.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an Algorithmic Trader, and why are they important?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What are some jobs that can be automated?

Algorithmic roles often involve tasks such as data analysis, process monitoring, and repetitive decision-making, which can be automated using software tools, machine learning models, and scripting. Jobs in manufacturing, customer service, and administrative support are also increasingly automated through robotics, chatbots, and workflow automation platforms. These technologies reduce manual effort and improve efficiency but require skills in programming, data management, and system integration.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Algorithmic jobs in Boston, MA? For Algorithmic jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Algorithmic jobs in Boston, MA look for? The top searched job categories for Algorithmic jobs in Boston, MA are:
Algorithmic jobs near you
Senior Engineering Program Manager, Core Algorithm Development

Senior Engineering Program Manager, Core Algorithm Development

Whoop

Boston, MA • On-site

$126K - $126K/yr

Full-time

Posted 5 days ago

Job description

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Senior Engineering Program Manager to lead execution across our Core Algorithm Development team. In this role, you will partner closely with algorithm engineers, data scientists, firmware engineers, software teams, product management, and validation teams to deliver the physiological algorithms that power WHOOP's member experience. You will drive cross-functional planning, execution, and delivery of complex algorithm programs while establishing scalable development processes that enable high-quality, predictable releases.
This role is focused on operational excellence across algorithm development-from roadmap planning and model development through validation, integration, and release-ensuring our teams can efficiently deliver industry-leading physiological insights.
RESPONSIBILITIES:
  • Lead program management for the Core Algorithm Development team, driving execution of algorithm initiatives that power WHOOP's core product experiences
  • Partner with algorithm engineers, data scientists, firmware engineers, software teams, product managers, and validation teams to define program plans, milestones, dependencies, and release schedules
  • Establish and continuously improve development processes for algorithm development, validation, integration, and release, enabling predictable execution across multiple concurrent programs
  • Drive cross-functional coordination across engineering, product and quality to ensure alignment on priorities, risks, deliverables, and timelines
  • Identify technical and program risks early, proactively driving mitigation plans and helping teams navigate changing priorities while maintaining delivery commitments
  • Coordinate algorithm validation efforts, ensuring appropriate data availability, testing strategies, performance evaluation, and release readiness
  • Develop clear program reporting, executive communications, and operational metrics that provide visibility into progress, risks, and resource needs
  • Champion continuous improvement across planning, execution, and release management processes to improve velocity, quality, and predictability across the Sensor Intelligence organization
  • Foster strong collaboration across technical teams while creating an environment that enables engineers to focus on delivering high-impact work

QUALIFICATIONS:
  • Bachelor's or Master's degree in Computer Science, Biomedical Engineering, Electrical Engineering, Data Science, Applied Mathematics, or a related technical field, or equivalent practical experience
  • 5+ years of experience in technical program management, engineering program management, or leading complex cross-functional engineering initiatives
  • Experience partnering with algorithm development, machine learning, data science, or software engineering teams to deliver complex technical products
  • Experience managing algorithm development programs through the full development lifecycle, including planning, development, validation, integration, and release
  • Strong understanding of modern engineering development processes, release management, dependency management, and technical program execution
  • Experience working with physiological sensing, wearable technologies, machine learning systems, or data-driven products is preferred
  • Excellent communication, organizational, and stakeholder management skills, with the ability to translate complex technical work into clear program plans and executive updates
  • Demonstrated ability to operate effectively in fast-paced environments with multiple competing priorities while driving alignment across highly technical teams
  • Strong commitment to embracing and leveraging AI tools to enhance productivity across program management activities, including planning, documentation, analysis, and communication, while ensuring AI-assisted outputs meet the same high standards for accuracy, quality, and responsible use as personal contributions

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $215,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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