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applied ai engineer

DoiT

<div><p><b>Location</b><br>
Our <b>Applied AI Engineer </b>will be an integral part of our global business systems team. This role is based remotely in the US East, the UK, Ireland, Estonia, the Netherlands, Sweden and Israel.</p>
<p><b>
Who We Are</b><br>
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.</p>
<p>
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.</p>
<p>
With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work along</p>
<p><b>
The Opportunity</b><br>
We are bringing the &quot;Full Stack Builder&quot; model to DoiT's internal operations. As an Applied AI Engineer, you are a one-person product team embedded directly into a core business function.</p>
<p>
This is not an IT support role. You are not fielding tickets. You have a dedicated product surface - your assigned department - and a clear success metric: measurable process improvement, shipped fast. You will rely on your empathy and judgment to identify the friction, and you will use modern AI tooling to build, code, and deploy the automations end-to-end.</p>
<p>
You live and breathe AI. You automate your own life for fun, you use AI agents as an extension of your own brain, and you get a genuine dopamine hit from taking a slow, manual process and turning it into a seamless, AI-driven workflow.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li><b>Embed &amp; Discover:</b> Audit real workflows in your assigned department. Find the &quot;Human API&quot; moments where smart people are doing robotic work (copy-pasting, manually reconciling data).</li>
<li><b>Provide the &quot;Golden Start&quot;:</b> Build default, pre-configured AI setups for your department teammates. Don't make an accountant figure out how to connect an LLM to NetSuite; build the integration, secure the endpoints, and hand them the keys.</li>
<li><b>Ship Foundational Wins:</b> Build and deploy initial AI-powered automations using DoiT's standard stack (Next.js, TypeScript, Firestore, Cloud Run, and Claude API) to build trust and show what's possible.</li>
<li><b>Educate &amp; Enable:</b> Train your department teammates on the tools you build. Foster their growth so they can start writing their own prompts, configuring their own agents, and automating their own workflows.</li>
<li><b>Measure Outcomes:</b> Track the time and cost savings for every automation shipped in your department. No vanity metrics, just real business outcomes.</li>
</ul>
<p><b>Qualifications</b></p>
<ul>
<li><b>The Solver Mindset:</b> You can research a problem, design a solution, code it, and launch it. You use AI coding assistants heavily to multiply your own output.</li>
<li><b>The AI-Native Builder:</b> You don't just know about AI. You build with it daily. You instinctively reach for tools like Claude Code, Gemini CLI and Codex to multiply your output. You are fluent in modern AI coding environments and autonomous agents like Claude Code.</li>
<li><b>Strong Software Fundamentals: </b>You produce production-quality code, not just brittle scripts.</li>
<li><b>AI Integration Experience:</b> Hands-on experience with LLM APIs, prompt engineering, RAG, MCP, and agent-based architectures.</li>
<li><b>Extreme Empathy:</b> Translating messy, real-world business workflows into clean technical solutions requires deep listening and communication skills. You can speak &quot;Engineering&quot; and business language equally well.</li>
<li><b>Self-Direction:</b> There is no established playbook for this role. You will need to find the work, scope it, build it, and prove it mattered.</li>
</ul>
<p><b>Are you a Do'er?</b><br>
Be your truest self. Work on your terms. Make a difference.</p>
<p>
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.</p>
<p>
What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.</p>
<p>
Sounds too good to be true? Check out our Glassdoor Page.</p>
<p>
We thought so too, but we're here and happy we hit that 'apply' button.</p>
<p>
Full-time employee benefits include:</p>
<ul>
<li>Unlimited Vacation</li>
<li>Flexible Working Options</li>
<li>Health Insurance</li>
<li>Parental Leave</li>
<li>Employee Stock Option Plan</li>
<li>Home Office Allowance</li>
<li>Professional Development Stipend</li>
<li>Peer Recognition Program</li>
</ul>
<p><b>Many Do'ers, One Team</b><br>
DoiT unites as <i>Many Do'ers, One Team</i>, where diversity is more than a goal&mdash;it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.</p>
<p>
#LI-Remote</p></div>

Applied AI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Agentic AI Engineer
</div><div>Experience Required - 4+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Proficiency in Python and modern AI/ML frameworks, AWS
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>Focus on designing, building, and optimizing AGENTC capabilities using large language models and advanced reasoning frameworks.</div><br>
<div><br>
</div><div>Key Responsibilities
</div><div>Strong technical depth, a passion for building, workstreams in a fast-paced, innovation-driven environment
</div><div>Build serverless agentic product architectures and features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability and Runtime
</div><div>Implement and operate A2A/MCP servers on AWS; integrate with Bedrock Agents/Converse APIs
</div><div>Orchestrate multi‑agent plans with Strands Agents; deploy to EKS or Lambda
</div><div>Instrument agents with CloudWatch metrics, spans, and traces; enable audits
</div><div>Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions
</div><div>Follow the roadmap for AI initiatives, ensuring they align with organizational goals and show measurable impact</div><br>
<div><br>
</div><div>Required Skills &amp; Experience
</div><div>Strong problem-solving and strategic thinking abilities
</div><div>Strong collaboration skills in research-driven environments
</div><div>Hands‑on with Bedrock AgentCore Memory, Gateway, and Runtime
</div><div>Strong experience with LLMs (fine-tuning, evaluation, prompt engineering)
</div><div>Proficiency in Python and modern AI/ML frameworks
</div><div>Proficiency in vector databases and embedding models for retrieval tasks
</div><div>Experience with Data Connectors and API gateways that support seamless communication between systems
</div><div>Experience with generative AI concepts such as Retrieval-Augmented Generation (RAG), agentic workflows, training LLMs with structured and unstructured data sets
</div><div>Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation
</div><div>Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents or CrewAI
</div><div>Deep subject matter expertise in AI technologies, including but not limited to Copilot Studio, OpenAI, Semantic Kernels, Azure AI Foundry, Google Gemini, Microsoft 365, and M365 Copilot or Anthropic or AWS platforms</div><div></div><div><br>
</div><div></div><br>
<div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refina ncing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Boston, MA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404955</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div></div></div></div><div></div>

Agentic AI Engineer

Hike Medical

<div><p><b>The Role</b><br>
As a Senior Machine Learning Engineer, you will bridge the gap between raw computer vision and physical, 3D-printed reality. You will own the pipeline that translates a smartphone video into a high-fidelity, CAD-compatible 3D reconstruction of human anatomy.<br>
<b>What You&rsquo;ll Work On</b></p><ul><li><p><b>
3D Reconstruction &amp; Generation:</b> Develop and deploy SOTA models for 3D human body part reconstruction (SDFs, NeRFs, Gaussian Splatting, or Mesh-based approaches) from videos.</p></li><li><p><b>
Deep Learning:</b> Architect pipelines that handle non-Euclidean data to extract precise clinical measurements from noisy real-world scans.</p></li><li><p><b>
CAD Integration:</b> Bridge the gap between AI inference and parametric CAD modeling for automated 3D printing preparation.</p></li><li><p><b>
Rapid Prototyping &amp; Continual Learning: </b>You should be used to keeping up to date on latest advances and quickly implementing these advancements into our systems.</p></li><li><p><b>
Production ML:</b> Work with our engineering team to deploy models into our AWS/serverless environment, ensuring clinical-grade accuracy at scale.</p></li></ul><p><b><br>
Ideal Candidate Profile</b><br>
<b>Technical Requirements</b></p><ul><li><p>
PhD in Machine Learning, Computer Graphics, Geometry Processing, or a related field, or equivalent experience.</p></li><li><p>
Deep expertise in 3D representations (Meshes, Point Clouds, Voxels, SDFs) and their respective computational tradeoffs.</p></li><li><p>
Proven track record in Generative Vision, 3D Reconstruction, or related topics.</p></li><li><p>
Strong proficiency in Python and PyTorch.</p></li><li><p>
Experience in CAD and computational geometry is a big plus.</p></li><li><p>
Experience with ML infrastructure in AWS (SageMaker, Lambda, etc) and model deployment is a plus.</p></li><li><p>
Experience in Biomedical AI or Biomechanics (e.g., modeling joint movement or tissue) is highly valued but not required.</p></li></ul><p><b><br>
Helpful Characteristics</b></p><ul><li><p><b>
Fast Iteration Mindset: </b>Willingness to move fast, iterate confidently in ambiguous tasks and deliver results from imprecise instructions or requirements.</p></li><li><p><b>
Product Minded: </b>Our AI team communicates the art of the possible. Having a good eye for high-value product opportunities is a major plus.</p></li><li><p><b>
Polymathic:</b> You can discuss loss functions with researchers, API latency with engineers, and 3D printing constraints with manufacturing.</p></li><li><p><b>
Strong Communicator:</b> You clearly explain your ideas, challenge assumptions, and collaborate across engineering, AI, and product teams.</p></li><li><p><b>
Mission-Driven:</b> You want to build technology that helps people walk without pain and revolutionize the future of orthopaedic care.</p></li><li><p><b>
Thrives in Collaboration</b>: You push back, ask tough questions, and elevate the team.</p></li></ul></div>

Senior Machine Learning Engineer

Chewy

<div><p>Job Description:</p><p></p><p><b>
Your Opportunity</b></p><p>
Chewy is seeking a highly skilled and experienced <b>Manager, Data Science</b> to join our growing Customer Care Data organization! In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data-driven solutions that improve customer and agent experiences. You will guide projects from experimentation to production, bridging advanced analytics with scalable engineering, to deliver measurable business impact. This is a hands-on leadership role dedicated to technical depth, innovation, and execution excellence.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Lead the design and implementation of scalable, reliable machine learning and AI solutions that empower Chewy&rsquo;s Customer Care teams.</li><li>
Partner with engineering, product, operations and enterprise teams to identify high-impact use cases and translate business needs into technical solutions.</li><li>
Lead all aspects of the full data science lifecycle, from data acquisition and feature engineering to model development, deployment, and performance monitoring.</li><li>
Implement best practices in experimentation, model validation, and continuous improvement, ensuring rigor and reproducibility.</li><li>
Ensure models are operationalized through strong MLOps practices, including CI/CD pipelines, versioning, and automated retraining and data quality and governance standards are maintained across all projects.</li><li>
Mentor and develop Data Scientists &amp; Machine Learning Engineers, fostering technical excellence, scalable thinking, and innovation within the team.</li><li>
Guide project prioritization and resource allocation, balancing long-term innovation with near-term business needs.</li><li>
Communicate findings and recommendations to senior leaders through compelling narratives and data visualizations that drive strategic decisions.</li><li>
Stay ahead of emerging ML and AI techniques, particularly in NLP, LLMs, and generative AI, and evaluate their applicability to Chewy&rsquo;s business context.
</li></ul><p><b>What You&rsquo;ll Need</b></p><ul><li>
Master&rsquo;s degree (or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.</li><li>
5+ years of experience in data science or applied machine learning, including at least 2 years leading technical teams.</li><li>
Strong programming skills in Python or R, with experience in data manipulation and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Solid understanding of machine learning algorithms, statistical modeling, experimental design and MLOps.</li><li>
Hands-on exposure to LLMs and advanced NLP techniques, including fine-tuning, prompt optimization, and generative AI.</li><li>
Experience with SQL and data engineering concepts; familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with big data and analytics technologies (e.g., Spark, dbt, Iceberg, Redshift, Athena).</li><li>
Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).</li><li>
Proven ability to translate complex analytical outcomes into actionable business insights.</li><li>
Excellent communication and stakeholder management skills, with the ability to align technical work to strategic objectives.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Knowledge of graph-based modeling, optimization, or recommendation systems.</li><li>
Previous experience in retail or e-commerce environments.</li></ul><br>
<p></p>
The base salary range for this role is $137,500 - $225,000.00.<ul><li><p>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Manager, Data Science III

DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><p>
We are looking for a <b>Customer Success Engineer - Database</b> who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.</p>
<p>
As a Customer Success Engineer at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.</p>
<p>
In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Customer Success Engineer.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments</li>
<li>Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity</li>
<li>Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean</li>
<li>Collaborate with senior engineers and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.</li>
<li> on complex escalations, contributing to root cause analysis and resolution</li>
<li>Analyze customer architectures to identify improvement opportunities and recommend best practices</li>
<li>Participate in incident response and on-call rotations to support critical customer issues</li>
<li>Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.</li>
<li>Advocate for customer feedback to influence product improvements and platform enhancements</li>
<li>Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.</li>
<li>Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.</li>
</ul><h2 class="jobSectionHeader"><b>Key Metrics</b></h2>
<ul><li>Customer Satisfaction (CSAT)</li>
<li>Time to Resolution / SLA adherence</li>
<li>Escalation quality and resolution effectiveness</li>
<li>Documentation and knowledge base contributions</li>
<li>Customer adoption of best practices</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean</b></h2>
<h3 class="jobSectionHeader"><b>Required Experience &amp; skills</b></h3>
<ul><li>2&ndash;5 years of experience in technical support, DevOps, cloud engineering, or similar roles</li>
<li>Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.</li>
<li>Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts</li>
<li>Understanding of database fundamentals including backups, replication, indexing, and performance tuning</li>
<li>Strong troubleshooting skills across application, database, and infrastructure layers</li>
<li>Customer-first mindset with a passion for solving technical problems and delivering great support experiences</li>
<li>Effective communication skills with the ability to explain technical concepts clearly</li>
<li>Ability to work both independently and collaboratively in a fast-paced environment</li>
</ul><h2 class="jobSectionHeader"><b>Preferred Qualification:</b></h2>
<ul><li>Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.</li>
<li>Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.</li>
<li>Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)</li>
<li>Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.</li>
<li>Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies</li>
<li>At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator</li>
<li>Exposure<b> </b>to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$75,200 - $94,000 / Shift hours - 4pm - 12am EST</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7646</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Customer Success Engineer - Database (2nd Shift)

Klaviyo

<div><div><p><i>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit </i><i>klaviyo.com/careers</i><i> to see how we empower creators to own their own destiny.</i></p></div><h3 class="jobSectionHeader"><b>
Why You Should Join the Mobile Channels Team:</b></h3>
<p>
The <b>Mobile Channels team</b> at Klaviyo powers text messaging across Klaviyo's platform &mdash; SMS, RCS, WhatsApp, and a growing set of future text messaging channels. As brands increasingly rely on mobile to reach their customers, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available.</p>
<p>
As a <b>Lead Software Engineer on the Mobile Channels team</b>, you'll provide technical leadership to a group of engineers building and scaling the services that power Klaviyo's mobile messaging pipeline end-to-end. You'll drive technical strategy, own critical components of the delivery infrastructure, and help the team navigate the unique challenges of multi-channel compliance, carrier regulations, provider integrations, and global deliverability. This is a hands-on technical leadership role where you'll contribute to architecture, code, and mentorship while shaping the future of mobile messaging at Klaviyo.</p><br>
<p></p>
<p>
If you're excited about building systems that deliver millions of messages across channels with speed and reliability &mdash; and leading a team at the center of one of Klaviyo's fastest-growing product areas &mdash; Mobile Channels is the place to do it.</p>
<h3 class="jobSectionHeader"><b>
How You Will Make a Difference:</b></h3>
<ul><li>Lead a team of engineers building and scaling Klaviyo's mobile messaging infrastructure across SMS, RCS, WhatsApp, and future channels</li>
<li>Own and drive the architecture of key components in the mobile messaging pipeline &mdash; from message ingestion and routing to provider delivery and status tracking</li>
<li>Design and implement scalable, high-throughput services in Python and Go</li>
<li>Build systems that ensure reliable delivery at scale while managing carrier compliance, opt-in/opt-out requirements, throughput limits, and international messaging regulations</li>
<li>Contribute directly to architecture and code, driving best practices and quality</li>
<li>Collaborate cross-functionally with product, deliverability, compliance, and platform teams to expand mobile channel capabilities</li>
<li>Grow and mentor engineers while helping shape the future of mobile messaging at Klaviyo</li>
<li>Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are:</b></h3>
<ul><li>8+ years of engineering experience with strong backend and systems design skills</li>
<li>Proficient in Python and/or Go and be able to rapidly learn the other</li>
<li>Comfortable coding and reviewing complex systems &mdash; this is a hands-on role</li>
<li>Experienced working with high-throughput distributed systems</li>
<li>Skilled in system design and scaling infrastructure using AWS</li>
<li>Strong business and product mindset &mdash; you think beyond the code to understand customer impact and commercial value</li>
<li>Able to bring clarity to ambiguous requirements, breaking down undefined problems into actionable plans</li>
<li>Self-led and driven to deliver incrementally &mdash; you ship value early and iterate</li>
<li>Bonus: Experience with SMS/MMS infrastructure, RCS, WhatsApp Business API, carrier integrations, telecom APIs, or messaging compliance</li>
<li>Clear communicator and collaborative team player</li>
<li>Able to thrive in a hybrid team and deliver in a high-autonomy environment</li>
<li>You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.</li>
</ul><h3 class="jobSectionHeader"><b>Technologies We Use:</b></h3>
<ul><li>Python, Go</li>
<li>AWS, Terraform, DynamoDB, Redis, SQL</li>
<li>Kafka</li>
</ul><h3 class="jobSectionHeader"><b>Location:</b></h3>
<p>
This is a <b>hybrid role based in Boston</b>, with <b>3 days in office</b> and <b>2 days remote</b> per week.</p><p></p><p><br>
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.</p><p>
Please see the independent bias audit report covering our use of Covey here</p><div><p><b>
Get to Know Klaviyo</b></p>
<p>
We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.</p>
<p><i>
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.</i></p>
<p><i>
By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our </i><i>Guidelines for using AI in the Klaviyo interview Process</i><i>. For more information about how we process your personal data, see our </i><i>Job Applicant Privacy Notice</i><i>.</i></p><br>
<p><i>
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.</i></p>
<div>
<div><div><div><div><div><div><div><div><div><div><div><i>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</i></div>
<div></div>
<div><b>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.</b><b><i> </i></b><i>You can find our Job Applicant Privacy Notice </i><i>here</i><i> and </i><i>here</i><i> (FR).</i></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Lead Software Engineer, Mobile Channels

Turing

<div>
 <p>
  <strong>
   About Turing:
  </strong>
 </p>
 <p>
  Turing is one of the world&rsquo;s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.
 </p>
 <p>
  Turing helps customers in two ways: Working with the world&rsquo;s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Overview:
  </strong>
 </p>
 <p>
  We are seeking experienced finance professionals to provide omnichannel chat support for SMB (small and medium-sized business) owners. This role involves answering both general help questions and complex, data-heavy accounting queries.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Active user of QuickBooks Online (QBO)
  </li>
  <li>
   Proven experience in accounting or bookkeeping
  </li>
  <li>
   Prior experience with omnichannel chat support
  </li>
  <li>
   Strong understanding of financial concepts and data analysis
  </li>
  <li>
   Ability to handle complex, data-driven accounting questions
  </li>
  <li>
   Experience working with SMB clients preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Respond to customer queries via omni chat platforms
  </li>
  <li>
   Handle accounting-related questions requiring deep financial expertise
  </li>
  <li>
   Support SMB business owners with bookkeeping and financial guidance
  </li>
  <li>
   Analyze and interpret financial data to provide accurate responses
  </li>
  <li>
   Complete assigned PPT-based tasks as needed
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <ul>
  <li>
   SMB business owners with hands-on accounting experience
  </li>
  <li>
   Previously engaged experts with relevant domain expertise
  </li>
  <li>
   Accountants/bookkeepers comfortable with high-volume, data-heavy queries
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Perks of Freelancing With Turing:
  </strong>
 </p>
 <ul>
  <li>
   Work at the forefront of AI applications in accounting and finance.
  </li>
  <li>
   Fully remote and flexible work environment.
  </li>
  <li>
   Opportunity to collaborate on high-impact projects with global reach.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Offer Details:
  </strong>
 </p>
 <ul>
  <li>
   Commitment: upto 40 hrs/week.
  </li>
  <li>
   Duration: ~ 2 months, with the possibility of extension based on performance and project needs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 </p>
</div>


Finance Expert - 71936

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