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.

• 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.

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.

• 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:

• variable compensation

• equity

• benefits

Experience Requirements:

• 2+ years of professional experience

Other Requirements:

• Hungry, curious, and consultative mindset

• Strong problem-solving skills with the ability to adapt to different users and scenarios

• Proven understanding and ability to write complex prompts and build AI-agents

• Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions

• Excellent communication skills to effectively interact with multiple stakeholder groups

• Product sense and ability to drive a product’s full potential capabilities

• Customer presence: ability to work with any level from individual contributors to CEOs

• Prior experience in consultative roles, solutions engineering, support, or product management

Responsibilities:

• Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap

• Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform

• Conduct use case discovery workshops and turn those use cases into tangible outcomes

• Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users

• Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement

Experience Requirements:

• 3+ years of sales experience in healthcare technology (startup experience preferred)

• Proven track record of building and closing pipelines in a fast-paced environment

• Experience running full-cycle deals: prospecting → discovery → demo → contract → implementation.

Other Requirements:

• Excellent communication and relationship-building skills

• Ability to operate in ambiguity, create structure, and scale processes in a new business unit

• Worked in Revenue cycle companies or Healthtech

• Experience selling automation, or AI solutions

• Knowledge of workflow-based pricing and/or token-based sales models

Responsibilities:

• Prospect and build a qualified pipeline of healthcare providers (outpatient/post-acute care, mental health, ambulatory care etc.)

• Run discovery calls to deeply understand customer goals and qualify opportunities

• Coordinate with Sales Engineering to plan and deliver tailored demos

• Drive proof-of-concept (POC) contracts with customers and ensure smooth handoff to Implementation

• Partner closely with the Implementation team to ensure POC success and conversion into long-term recurring contracts

Experience Requirements:

• 5+ years of experience working across Saas, AI, Automation, Consulting, VC, IB along with some sales exposure

• Proven ability to manage complex, multi-stakeholder enterprise deals.

Other Requirements:

• Consulting, Founder, Investing, Analytical background (e.g., strategy consulting, VC/IB, business consulting, pre-sales, or equivalent structured problem-solving roles)

• Comfortable navigating long sales cycles

• Exceptional communication, presentation, and executive relationship-building skills

• Strong outbound prospecting and pipeline-building capability

• Experience with workflow-based pricing or selling tokens

• High-level understanding of LLMs, RAG, and model fine-tuning

• Prior experience transitioning from consulting/strategy into enterprise SaaS sales

Responsibilities:

• Own the full sales cycle for enterprise accounts in the US — from prospecting to negotiation and closing.

• Engage with C-level executives and senior stakeholders to understand business challenges and design tailored solutions.

• Apply structured, analytical problem-solving skills to craft compelling value propositions and ROI-driven business cases.

• Build and manage strong, trust-based relationships across enterprise accounts.

• Drive pipeline generation through outbound prospecting, events, and networks, in addition to managing inbound leads.

Experience Requirements:

• How many years of hands-on experience do you have with Python scripting?

• Have worked with API integrations?

Other Requirements:

• interested in AI/ML space

• good with communication

• enjoy tasks with quick wins and love solving a diverse set of problems

• understand Nanonets’ product really well

• understand customer requirements/goals

• build machine learning models on the Nanonets platform to demo capabilities to customers on their own data

Responsibilities:

• Accompanying salespeople on client calls to answer technical questions, understand their current processes and goals with Nanonets, and suggest improvements.

• Building solutions/demos based on their requirements using Nanonets product

• Write code to solve user requirements that the product doesn’t support completely

• Solving challenges potential customers might be facing with the product

• Researching about customers current tools/stack and building technical architecture for end solution we are proposing that will solve their problem

Experience Requirements:

• 2+ years of quota-carrying SaaS sales experience (AE or AM with close responsibility). Startup experience a plus.

• Demonstrated full-cycle proficiency: prospecting, discovery, value selling, negotiation, and closing.

• Track record of hitting/exceeding quota with expansion or net-new ACVs; comfortable opening doors and growing footprint.

Other Requirements:

• Executive presence with the ability to multi-thread at the C-level and quantify business impact

• Strong communication, relationship-building, and negotiation skills

• Comfortable working in a fast-paced, startup environment with evolving processes

• Familiarity with workflow automation, AI, or data-heavy enterprise solutions

• Experience managing complex renewal/expansion motions across departments

Responsibilities:

• Carry and beat a closing quota across a named account list; drive expansions, cross-sell, and multi-year renewals.

• Run full-cycle sales: build pipeline (outbound + partner/marketing), multi-thread, deliver tailored demos, handle evaluations, negotiate, and close.

• Negotiate renewals with a focus on multi-year, higher-value commitments.

• Provide feedback to Product and Leadership teams on enterprise customer needs.

• Track expansion ARR, renewal values, and overall account growth metrics.

Benefits:

• Competitive salary and equity.

• Healthcare: Medical/Dental/Vision covered for you and your family.

• Pension : 401K (6% matching)

• PTO : 18 days

• Transportation: Reimburse office parking charges, or $120/month for public transport

Experience Requirements:

• 5+ years of technical experience, with significant time spent in working with AI systems, LLM’s and other related ecosystem components.

• Experienced presenter or speaker with a track record of delivering enablement sessions

• Worked with systems integrators or technology companies ecosystems extensively

• Strong understanding of AI/ML concepts and advanced implementations

• Proven success driving partner technical engagement and technical adoption

Other Requirements:

• Can create compelling technical demonstrations and reference implementations

• Skilled at leading hands-on technical sessions and workshops

• Led successful technical hackathons and workshops

• Created and hosted technical podcasts or video content

• Experience creating high-quality technical content across multiple formats

• Travel 20-30% of the time for conferences, hackathons, and partner events

Responsibilities:

• Create and deliver workshops and presentations at major technical conferences around the world

• Develop and present technical content for developer podcasts and video series

• Create compelling technical demonstrations and reference implementations

• Design and deliver sophisticated technical training programs for partner engineering teams

• Help develop and deliver technical hackathons, partner technical workshops, and hands-on sessions.

Benefits:

• Competitive salary and equity.

• Medical/Dental/Vision covered for you and your family.

• 401K : 6% matching

• PTO : 18 days

• Reimburse office parking charges, or $120/month for public transport

Education Requirements:

• Bachelor's degree in Business, Marketing, Information Technology, or a related field.

Experience Requirements:

• 5+ years of experience in B2B sales, ideally involving a highly complex, technical solution

• Significant work experience within the B2B tech ecosystem, ideally with a focus on AI or related data/infrastructure fields (e.g. deep-tech, AI application layer, cloud provider)

• Successful track record working in an early stage (Series A-C) startup or scale up organization.

Other Requirements:

• Excellent negotiation, communication, and interpersonal skills.

• Strong understanding of the technology or software industry with a focus on data and AI

• Ability to travel as needed to meet with customers and prospects and attend industry events.

• Strong analytical skills, with the ability to monitor and analyze business performance and take action

• High integrity, low ego, great teammate

Responsibilities:

• Effectively and consistently build pipeline to achieve goals using multi-channel and tactics based on account plans

• Identify, qualify and disqualify sales opportunities

• Develop and execute strategic sales plans to convert opportunities into long term customers

• Work closely with the Solutions and Applied AI Engineering teams to ensure customer success criteria are met, and to identify up-sell and cross-sell opportunities

• Develop and execute on a strategic vision for account expansion, based on a deep understanding of the customer’s strategy and desired business outcomes

Benefits:

• stock options

• health insurance

• dental insurance

• vision insurance

• life insurance

Education Requirements:

• B.S. or higher degree in a technical field

Experience Requirements:

• 5+ years of relevant work experience

• Proven experience maintaining a cross-platform build system

• Proven experience managing CI/CD pipelines

• Proven ability to script in Python and Starlark

• Proven experience developing Bazel infrastructure

Other Requirements:

• Experience with infrastructure management tools such as Terraform

• Experience with Bazel internals

• Familiarity with releasing code and binaries to customers

• Familiarity with cross-compilation

• Experience with the usage of CMake

Responsibilities:

• Extend and optimize our build, release and packaging system

• Improve our Continuous Integration, Continuous Deployment (CI/CD) pipelines and build system

• Build and maintain our Bazel build infrastructure

• Work closely with C++ product developers to understand their workflows and how to improve them

Education Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or relevant experience preferred

• Relevant certifications in IT administration, security, or networking are a plus

Experience Requirements:

• Experience administering device management and endpoint security solutions in a business environment

• Experience configuring and supporting enterprise-grade wireless networks

• Hands-on expertise with SSO and identity management platforms (Okta)

• Use of ticketing systems to track work and resolutions (Jira)

• Strong troubleshooting skills for both Mac and Windows laptops

Other Requirements:

• Excellent written and verbal communication skills

• Experience with cloud productivity platforms and services

• Working knowledge of AWS and GitHub

• Experience with additional security tools (e.g. VPN, Zero Trust solutions)

• Familiarity with scripting or automation (e.g. Bash, Terraform) is a plus

• Ability to work independently and as part of a collaborative team

Responsibilities:

• Device Management: Administer and maintain mobile device and endpoint management systems for both Mac and Windows devices, ensuring compliance with security policies and efficient deployment of updates and applications.

• Physical Asset Management: Track, inventory, and manage the lifecycle of IT hardware assets—including laptops, desktops, and related equipment.

• Endpoint Security: Oversee endpoint protection solutions, monitor for threats, and respond to security incidents as needed.

• SSO and Identity Management: Configure, maintain, and troubleshoot SSO and identity management systems—including user licensing, provisioning, deprovisioning, and integration with business applications.

• Network Configuration: Design, deploy, and maintain secure, scalable enterprise networks, ensuring optimal WiFi performance and security for all users.

Experience Requirements:

• Experience in ML model or ML data pipeline deployment (on-prem or on cloud)

• Experience in building backend for application or platform API systems

• Senior Level experience

• Experience in using or contributing to modern compute frameworks for LLMs (e.g. Deepspeed, Huggingface TGI, FSDP)

• Experience in projects involving LLMs

Responsibilities:

• API system development for copilot & agent quality tooling

• API system development for copilot serving and integration with enterprise-grade requirements

• Integration with on-prem & cloud compute vendors

• Integration with software tools required in customer oriented solutions

• Collaborate with the whole team for product development, deployment and customer success

Experience Requirements:

• 3+ years experience in full-stack web development

• Proficient in developing web applications using React.js, Next.js, TypeScript, and Tailwind CSS

• Experience with backend API system development & deployment on cloud (e.g. AWS)

• Strong understanding of HTML, CSS, and JavaScript

• Experience in building ML applications or ML platforms

Responsibilities:

• Full-stack development in dev tooling and applications for GenAI copilots & agents

• Spearheading the development and maintenance of high-quality web front-end using React.js

• Contributing to the backend API system for cloud or on-prem deployment

• Staying updated on emerging technologies and best practices in web development

• Collaborating with Nexusflow.ai’s full team for product development, deployment and customer success