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Programmatic Jobs in Boston, MA (NOW HIRING)

Magnite

Technical Operations Manager, Demand

Boston, MA · Hybrid

Troubleshoot advanced programmatic advertising workflows and integrations, including: * VAST and OpenRTB protocols * DSP/SSP integrations * Audience onboarding and DMP workflows * Video ad serving ...

Harvard University

Senior Program Manager

Cambridge, MA · On-site

$58/hr

Provide strategic management for the full lifecycle of H&LS's programmatic portfolio (e.g., the Du Bois Scholars Program, Reparative Grant Program, and new programmatic initiatives). * Oversee a ...

New

Harvard University

Senior Program Manager

Cambridge, MA

$127K - $128K/yr

Provide strategic management for the full lifecycle of H&LS's programmatic portfolio (e.g., the Du Bois Scholars Program, Reparative Grant Program, and new programmatic initiatives). * Oversee a ...

New

Mass General Brigham

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

Uses programmatic tools such as Python or R to support data QA and exploratory analysis. This includes identifying missing data, detecting outliers, and assessing whether anomalies reflect true ...

New

Massgeneralbrigham

HDS Senior Data Analyst

Somerville, MA · On-site

$93K - $118K/yr

Uses programmatic tools such as Python or R to support data QA and exploratory analysis. This includes identifying missing data, detecting outliers, and assessing whether anomalies reflect true ...

New

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All JobsProgrammatic JobsProgrammatic Jobs in Boston, MA

Programmatic information

See Boston, MA salary details

$38.7K

$74.9K

$124.8K

How much do programmatic jobs pay per year?

As of Jul 14, 2026, the average yearly pay for programmatic in Boston, MA is $74,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $75,200.00 per year, depending on experience, location, and employer.

What is a Programmatic job?

A Programmatic job typically involves managing automated digital advertising campaigns using data, algorithms, and technology to optimize ad placements in real time. Professionals in this field work with demand-side platforms (DSPs), supply-side platforms (SSPs), and other ad tech tools to buy and sell digital ad inventory efficiently. Responsibilities may include campaign strategy, data analysis, audience targeting, and performance optimization. This role requires analytical skills, knowledge of ad technology, and an understanding of digital marketing.

What jobs pay 500,000 a year in the US?

Programmatic roles, such as senior programmatic traders, digital media directors, or chief marketing officers with extensive experience, can reach or exceed $500,000 annually, especially in large agencies or corporations. High compensation often involves leadership, advanced skills in data analysis, and proficiency with ad tech platforms, along with performance-based bonuses and incentives.

What are the most common challenges faced in a Programmatic role?

Professionals in programmatic roles often face the challenge of staying ahead of rapidly evolving digital advertising technologies and industry best practices. Managing large amounts of data to optimize campaigns, dealing with issues like ad fraud or viewability, and balancing client expectations with campaign realities are frequent aspects of the job. Additionally, programmatic specialists must coordinate closely with creative, analytics, and sales teams to ensure campaign success. Developing the ability to quickly learn new tools and adjust strategies is essential for ongoing success in this dynamic field.

What does programmatic work mean?

Programmatic work refers to roles involved in automated digital advertising, where software and algorithms buy and optimize ad placements in real-time across various platforms. It requires knowledge of ad tech tools, data analysis, and digital marketing strategies to efficiently target audiences and maximize campaign performance.

What are the key skills and qualifications needed to thrive in the Programmatic position, and why are they important?

To thrive as a Programmatic professional, you need a deep understanding of digital advertising, data analysis, and campaign optimization, typically supported by experience with programmatic ad buying platforms. Familiarity with tools like Google DV360, The Trade Desk, and certifications in platforms such as Google Ads or IAB Digital Media Buying are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication help you manage campaigns and collaborate with cross-functional teams. These competencies are crucial for maximizing campaign performance, efficiently reaching target audiences, and driving measurable results for clients or brands.

What is a programmatic job?

A programmatic job involves managing digital advertising campaigns using automated systems and software platforms, such as demand-side platforms (DSPs) and ad exchanges. Professionals in this role analyze data, optimize ad performance, and often have skills in data analysis, digital marketing, and familiarity with ad tech tools.

How much do programmatic traders make?

Programmatic traders typically earn a median annual salary ranging from $60,000 to $120,000, depending on experience, location, and the complexity of the campaigns managed. Senior or specialized traders with advanced skills in data analysis and trading platforms can earn higher salaries, often supplemented with bonuses or performance incentives.
What are popular job titles related to Programmatic jobs in Boston, MA? For Programmatic jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Programmatic jobs in Boston, MA look for? The top searched job categories for Programmatic jobs in Boston, MA are:
Programmatic jobs near you

Research Scientist I/II, Multiscale & Multiphysics Simulations

Lila Sciences

Cambridge, MA

Other

Re-posted 29 days ago

Job description

Your Impact at LILA

Your role will focus on building next-generation in silico multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines.

You will work on integrating simulation methods-such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling-into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows

What You'll Be Building

  • Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques.
  • Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices.
  • Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows.
  • Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments
  • Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment-simulation feedback cycles and accelerated R&D.

What You'll Need to Succeed

  • PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field.
  • Extensive experience with multiphysics simulation methods and numerical algorithms, including FEM, CFD, TCAD/process simulation, mesoscale modelling, or related techniques.
  • Strong foundation in coupled physical phenomena, including heat transfer, fluid dynamics, structural mechanics, mass transport, diffusion, electromagnetism, and reaction kinetics.
  • Experience applying simulation to real-world systems in industrial settings such as semiconductors, chemical processing, aerospace, or materials manufacturing.
  • Solid programming skills in Python and building simulation workflows, automation pipelines, or custom numerical models.

Bonus Points For

  • Experience bridging atomistic simulations with one or more additional simulation domains including coarse-grained, finite-element and continuum models.
  • Familiarity with machine learning approaches applied to physical simulations (e.g., surrogate models, neural operators, physics-informed neural networks), along with experience leveraging GPU acceleration and programmatic optimization for scalable simulations
  • Experience integrating simulation frameworks into digital twin systems, real-time decision environments, or closed-loop control workflows.
  • Background applying simulation to complex materials and process domains such as thin-film deposition, micro/nano-fabrication, or reactive transport, with an understanding of processing-structure-property relationships.

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