Benefits:

• Health plan

• Dental plan

• Extended parental leave

• Daycare assistance

• Education incentive

Education Requirements:

• Academic background in computing (degree complete or in progress in Computer Science, Computer Engineering, Information Systems or related fields)

Experience Requirements:

• Experience with automated tests

• Deep understanding of current system flows to anticipate risks and propose quality improvements

Other Requirements:

• Advanced English

• Tech Stack: Python, Java, Golang, AWS (EKS, SQS, SNS), PostgreSQL, ClickHouse, Redis, Git, Jenkins, Grafana

Responsibilities:

• Investigate and diagnose failures, identifying the root cause of bugs and system inconsistencies.

• Create test suites based on functional and non-functional requirements of features.

• Implement automated tests to ensure coverage and reliability of new functionalities.

• Validate system state before deployments, ensuring all environments are stable and ready for release.

• Continuously monitor application health and performance, acting preventively in cases of instability.

Benefits:

• Health plan

• Dental plan

• Extended parental leave

• Daycare assistance

• Education incentive

Education Requirements:

• Accounting degree

Experience Requirements:

• Previous experience in fintechs, regulated institutions, or companies supervised by Bacen

• Solid knowledge in CPC/IFRS, accounting practices, and complex reconciliations

• Experience with audits and regulatory deliverables

• Knowledge of COSIF and specific Central Bank reports

Other Requirements:

• Advanced English

• Analytical skills, organization, and ability to work autonomously

Responsibilities:

• Execute and review monthly accounting closing, ensuring accuracy, compliance, and alignment with accounting standards (CPC/IFRS)

• Analyze accounting reconciliations, identifying and correcting discrepancies

• Prepare reports and regulatory obligations applicable to fintechs and regulated institutions

• Assist with audits, providing information, evidence, and analysis

• Support the preparation of financial statements, explanatory notes, and management reports

Experience Requirements:

• 3+ years building production systems in Python/Django with Postgres.

• Hands-on experience fine-tuning and optimizing LLMs/SLMs, ideally in fraud, anomaly detection, or adversarial domains.

• A track record of reducing latency/cost in ML inference without compromising accuracy.

• Comfort working across the stack - from PyTorch profiling to Django APIs.

• An experimental but practical mindset: ship fast, measure rigorously, iterate.

Other Requirements:

• Prior work with imbalanced datasets (e.g., 1 in 10,000 fraud cases).

• Knowledge of feature stores, online learning, and temporal aggregation for fraud models.

• Familiarity with regulatory requirements around PII, KYC/AML, and compliance in financial data.

Responsibilities:

• Fine-tune, distill, and quantize LLMs and small language models (SLMs) for fraud detection tasks: entity resolution, anomaly detection, customer communication classification, synthetic data generation.

• Optimize inference so our models run fast and cost-efficiently in production - using techniques like lightweight fine-tuning (LoRA/PEFT), quantization to smaller precisions, and modern serving frameworks (e.g. vLLM, TensorRT)

• Build training/eval pipelines for fraud models that balance recall (catch fraud) with precision (minimize false positives).

• Create golden datasets, adversarial test sets, and online/offline evaluation harnesses that mirror real-world fraud evolution.

• Architect and own Python/Django services that integrate model predictions directly into customer-facing APIs.

Experience Requirements:

• 4–7 years of experience in Customer Success / Account Management at a B2B SaaS or fintech company.

• Have worked with technical products (APIs, data platforms, risk/fraud tooling a plus).

• Are comfortable leading executive conversations (Heads of Risk, Product, Payments).

• Have experience driving renewals, expansions, and customer advocacy.

• Thrive in an early-stage environment: scrappy, adaptable, execution-oriented.

Other Requirements:

• You’ve built or scaled a Customer Success function before.

Responsibilities:

• Own the entire customer lifecycle post-implementation

• Run account reviews (QBRs, regular touchpoints) to drive measurable outcomes.

• Proactively manage customer health: track adoption, identify risks, and address issues before they escalate.

• Drive renewals and expansions by spotting growth opportunities early.

• Be the voice of the customer and relay feedback to Product and Engineering.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch

Experience Requirements:

• Deep experience with PyTorch and torch.distributed (c10d)

• Hands-on experience with at least one of: Megatron-LM, DeepSpeed, or FairScale

• Proficiency in Python and Linux shell scripting

• Experience with multi-node GPU clusters using Slurm, Kubernetes, or similar

• Strong understanding of NCCL, collective communication, and GPU topology

Other Requirements:

• Familiarity with debugging tools and techniques for distributed systems.

• Experience scaling LLM training across 8+ GPUs and multiple nodes

• Knowledge of tensor, pipeline, and data parallelism

• Familiarity with containerized training environments (Docker, Singularity)

• Exposure to HPC environments or cloud GPU infrastructure

Responsibilities:

• Develop and support distributed PyTorch training jobs using torch.distributed / c10d

• Integrate and maintain frameworks like Megatron-LM, DeepSpeed, and related LLM training stacks

• Diagnose and resolve distributed training issues (e.g., NCCL hangs, OOM, checkpoint corruption)

• Optimize performance across communication, I/O, and memory bottlenecks

• Implement fault tolerance, checkpointing, and recovery mechanisms for long-running jobs

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• Catered lunches.

• A friendly and inclusive workplace culture.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• Experience designing, building and deploying large-scale distributed systems.

Other Requirements:

• Fluency in at least one of the following languages: C, C++, Golang, Java, Python.

• Excellent communication skills.

• Excellent debugging and problem solving skills.

• Operating systems expertise (e.g. threads, scheduling, process sync, kernel programming).

• Computer networks expertise (e.g. networking stacks and protocols, queuing theory, congestion control).

Responsibilities:

• Use your coding skills and distributed system knowledge to contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Experience Requirements:

• At least 5 years of experience with C/C++ systems programming

Other Requirements:

• Deep knowledge of Linux internals (e.g., system calls, memory management, kernel modules)

• Strong foundation in concurrent programming and synchronization techniques

• Strong understanding of the TCP/IP stack, socket programming, and low-latency networking (e.g., RDMA, DPDK, XDP)

• Strong understanding of memory hierarchy, CPU caches, multi-core architectures, and GPUs

• Strong skills in systems design, performance analysis, and low-level debugging

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch.

Experience Requirements:

• 2+ years of hands-on HubSpot power-user or admin experience

Other Requirements:

• Expertise in lead lifecycle configuration, scoring, workflow automation, and campaign setup.

• Strong experience building dashboards and reports for funnel metrics and campaign ROI.

• Good working knowledge of Salesforce CRM and HubSpot → Salesforce integrations, and how HubSpot and SFDC integrate for full funnel lifecycle and opportunity management.

• Experience supporting ABM motions (We use Clay ABM lists that integrate with Hubspot).

• AI-forward experimentation mindset with a love of learning new ways of doing things

Responsibilities:

• Build and maintain the full HubSpot lead lifecycle (MQL → SQL → Opportunity → Closed-Won).

• Configure multi-channel HubSpot campaigns: events, webinars, paid/organic ads, email nurture, social campaigns, and ABM sequences with Hubspot CRM and Content Hub.

• Build reports and dashboards that track full-funnel performance, campaign attribution, and revenue metrics.

• Create workflows, scoring models, segmentation logic, custom fields, and data-quality processes.

• Manage the HubSpot ↔ Salesforce sync: mappings, lifecycle logic, campaign influence, and data hygiene.

Benefits:

• Challenging projects.

• A friendly and inclusive workplace culture.

• Competitive compensation.

• A great benefits package.

• Catered lunch.

Education Requirements:

• A degree in Computer Science, Electrical Engineering, or a related field.

Other Requirements:

• Proficiency in both front-end and back-end programming languages such as TypeScript, HTML, Go, and Python.

• Strong experience building custom data visualizations and interactive user interfaces.

• Hands-on experience with front-end frameworks (e.g., Vue, React, or similar) and visualization libraries such as D3.js or SVG-based tools.

• Excellent debugging, problem-solving, and collaboration skills.

• Strong communication and attention to detail.

Responsibilities:

• Work in a fast-paced environment that values innovation, diversity of talent, and technical excellence.

• Collaborate closely with Clockwork engineering teams to design, prototype, and implement end-to-end web applications and interactive visualizations that simplify complex data for network engineers and enterprise clients.

• Develop front-end interfaces using modern frameworks and back-end services that ensure performance, reliability, and scalability.

• Write clean, efficient, and maintainable code across multiple languages and layers of the stack.

• Continuously improve platform performance, usability, and design by staying current with modern technologies and development practices.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Education Requirements:

• A degree in computer science, electrical engineering or related field.

Experience Requirements:

• At least 5 years of industry experience.

Other Requirements:

• Expertise in data structures, algorithms and software design.

• Designing, building and scaling large distributed systems in production.

• Service-oriented architectures and cloud technologies (AWS, GCP, Azure).

• Operating systems (e.g. threads, scheduling, process sync, kernel programming).

• Fluency in one or more languages: C, C++, Golang, Java, Python.

Responsibilities:

• Lead/contribute directly to the design and build of high performance, reliable and scalable systems.

Benefits:

• Challenging projects.

• Competitive compensation.

• A great benefits package.

• A friendly and inclusive workplace culture.

• Catered lunches.

Experience Requirements:

• 7+ years of experience in field marketing within B2B technology

• Proven success scaling growth and executing high-performing event programs for recognized technology brands.

• Deep expertise across virtual, hybrid, and in-person event management

• Strong understanding of demand generation, audience engagement, and event ROI measurement.

Other Requirements:

• A self-starter who can operate independently with little direction, but also thrives as a collaborative team player

• Highly organized and adaptable

• Strong brand sensibility

• Willing to work onsite in Palo Alto, CA (2–3 days per week) and travel domestically ~4-5 times per year.

Responsibilities:

• Lead and execute Clockwork’s field marketing strategy across in-person, virtual, and hybrid formats

• Plan and deliver high-impact events that drive brand awareness, customer engagement, and measurable pipeline growth.

• Collaborate closely with the Head of Marketing, Sales, and Executives to align event strategy with GTM priorities and revenue objectives.

• Be hands-on and proactive — from vendor management and logistics to booth design, campaign coordination, and on-site execution.

• Develop scalable event frameworks and playbooks to support Clockwork’s expansion into new markets and global audiences.

Education Requirements:

• Degree in Computer Science, Applied Mathematics, AI, or a related field

Experience Requirements:

• Minimum of 5 years of experience in AI, ML, or NLP, with a strong track record in production and model deployment

• Expertise in Python and ML/NLP libraries (PyTorch, TensorFlow, HuggingFace, LangChain, etc.), as well as modern tools (Pydantic, Instructor)

• Proven experience in LLM fine-tuning and Prompt Engineering

• Knowledge of pipelines integrating external functionalities (RAG, APIs, third-party tools, web scraping, SMS, etc.)

• Experience with real-time or interactive systems (latency-critical, performance optimization)

Other Requirements:

• Autonomy, rigor, and a passion for tackling complex technical challenges

Responsibilities:

• Fine-tuning large language models (OpenAI, Anthropic, Meta) for natural and contextual voice interactions

• Designing NLP pipelines tailored to real-time dialogue and production constraints

• Creating and optimizing prompts for precise and contextually appropriate responses

• Building and maintaining scripts, notebooks, and APIs to integrate models into our voice applications

• Deploying models and pipelines in production, ensuring performance, scalability, and reliability

Education Requirements:

• A BS degree or higher in Computer Science, Engineering, or related fields

Experience Requirements:

• 4+ years of experience as a DevOps or DevSecOps Engineer, or equivalent software-engineering role.

• 2+ years of experience deploying software and/or managing software deployments in US Government classified networks.

• Extensive experience deploying and managing software in AWS, Azure, GCP, and/or Oracle Cloud environments, as well as on-premises data centers.

• Strong experience with containerization and orchestration technologies, especially Docker, Kubernetes, and Helm.

• Experience delivering software to multiple environments using GitOps or similar automation and configuration management technologies.

Other Requirements:

• An active US Department of Defense or Intelligence TS/SCI clearance.

• CompTIA Security+ Certification.

• Must be eligible to work in the US without sponsorship.

• MUST be on-site at MacDill AFB.

Responsibilities:

• Deploy the Legion Intelligence product in US government compute environments using Flux, Terraform, Kubernetes/Docker, and related technologies.

• Develop automation scripts for provisioning, monitoring, backing up, patching, and deploying the Legion product and underlying services.

• Ensure high availability, fault tolerance, and disaster recovery capabilities for deployed applications.

• Implement robust monitoring, alerting, and logging systems to ensure optimal performance and uptime.

• Integrate the Legion product with external authentication and authorization systems in government production environments.

Education Requirements:

• Preparing a Bac +5 degree in business school, growth hacking, Marketing or equivalent university.

Experience Requirements:

• A first experience in prospecting, growth or digital marketing is a plus.

Other Requirements:

• Curious, proactive and comfortable with digital tools (LinkedIn, HubSpot, Apollo, Lemlist, Notion, etc.)

• Likes to communicate, analyze and test new approaches

• Entrepreneurial spirit and the desire to contribute to the growth of a high-impact startup

• A good level of English is essential (international environment).

Responsibilities:

• Identify and qualify new prospects via different channels (LinkedIn, email, calls, events).

• Deploy targeted multi-channel prospecting campaigns.

• Schedule and organize appointments for the sales team.

• Design growth hacking strategies to generate qualified leads.

• Analyze campaign performance and track KPIs (click-through rate, conversion, ROI).

Experience Requirements:

• You think in systems and code fluently - Strong technical foundation with ability to write SQL, architect integrations, and choose the right technology for each challenge

• You thrive on direct customer interaction - Natural ability to translate complex technical concepts into clear business value while turning customer feedback into prioritized development work

• You sprint but never ship half-baked - Bias toward action with unwavering commitment to quality, ensuring every implementation meets both timeline and excellence standards

• You want strategic influence - Seeking a role where data, product, and revenue decisions intersect, with direct input on company direction and customer success

Responsibilities:

• Own the semantic layer for commerce agents - Build the unified data model that turns raw Shopify, ad, and retention data into the language that AI agents understand, creating consistent metrics and business logic across every store and channel

• End-to-end impact from pre-sale to expansion - Design compelling proofs of concept that accelerate our sales cycle, then lead implementations that hit time-to-value in weeks while identifying expansion opportunities

• High-leverage, high-ownership environment - Write SQL, architect integrations, and sit shoulder-to-shoulder with revenue leaders where your technical decisions directly impact retention and LTV

• Strategic seat at the table - Work at the critical intersection of data, product, and revenue where your insights shape both customer success and product development

• Drive $1M ARR per quarter - Own the technical close for high-value deals through compelling demonstrations, custom proofs of concept, and seamless technical implementations

Benefits:

• An amazing team to work with

• Competitive pay & equity

• Remote role

• Unlimited Time Off

• Flexible Work Hours

Education Requirements:

• BS or MS in Computer Science or related field.

Experience Requirements:

• 5+ years of technology industry experience in a hands-on engineering role.

• 2+ years of experience building and launching AI products.

• Experience working in high paced, customer focused environment.

• Experience building both backend and frontend solutions using Python and Typescript.

• Experience building agentic systems, understanding of the recent frameworks is a strong plus.

Other Requirements:

• Being located in Brazil and speaking Portuguese is a must

Responsibilities:

• Prototyping, building and launching AI experiences for large retailers and enterprises.

• Partnering with PM, sales and clients to define and refine customer requirements.

• Partnering with engineering teams in San Francisco to leverage the latest capabilities of the AI platform as well as contributing to the platform where needed.

• Establishing and implementing AI business metrics, analyzing data and iterating to progressively and relentlessly improve business performance.

• Planing your work, negotiating on dates, and offering creative solutions and practical tradeoffs to compromise between client deadlines and feature completeness.

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

Experience Requirements:

• PhD in AI from a top engineering school or 3+ years of work experience as an AI engineer

• Experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will build state-of-the art AI technologies

• You will interact closely with developers and product teams to build a technology which will have a direct impact on our users

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Computer Science or AI from top engineering schools

Experience Requirements:

• 3+ years of experience developing state-of-the-art AI technologies in at least one of the following areas: Graph Machine Learning, Reinforcement Learning, Linear and Non-linear Optimization, Computer Vision, Generative AI

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

• PhD in AI from a top engineering school

• Interest in learning about Materials Science

• Experience in implementing tech solutions in the industry sector

Responsibilities:

• You will build state-of-the art AI technologies.

• You will interact closely with developers and product teams to build a technology which will have a direct impact on our users.

• You will directly report to the CTO.

• You will contribute to a strong mission where AI is key.

• You will tackle real-world challenges and complex problems at the forefront of machine learning for materials science.

Education Requirements:

• Bachelors or Masters in Computer Science, Software Engineering or equivalent work experience

Experience Requirements:

• 3+ years of experience as a full-stack engineer

• Experience developing and managing AI infrastructure

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Fast learner able to adapt to challenging environments

• Previously worked in a startup

• Experience building B2B SaaS

• Experience in our tech stack: Vercel, Next.js, AWS, Typescript, Tailwind CSS, Python

Responsibilities:

• You will be at the heart of the technology development

• You will directly report to the CTO

• You will contribute to a strong mission where software is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

Experience Requirements:

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• You will solve complex data science problems

• You will work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• You will implement high-value data-oriented for our software to bring the highest value to our customers

• You will directly report to the CTO

• You will contribute to a strong mission where AI is key